Commit
·
c52239f
1
Parent(s):
310d25b
initial commit
Browse files- eval.jsonl +0 -0
- mistral-finetune-own-data.ipynb +0 -0
- train.jsonl +0 -0
- verb-workspace/verb.yaml +18 -0
- wandb/debug-internal.log +1 -0
- wandb/debug.log +1 -0
- wandb/latest-run +1 -0
- wandb/run-20231119_155754-znnni89w/files/config.yaml +663 -0
- wandb/run-20231119_155754-znnni89w/files/output.log +30 -0
- wandb/run-20231119_155754-znnni89w/files/requirements.txt +156 -0
- wandb/run-20231119_155754-znnni89w/files/wandb-metadata.json +62 -0
- wandb/run-20231119_155754-znnni89w/files/wandb-summary.json +1 -0
- wandb/run-20231119_155754-znnni89w/logs/debug-internal.log +0 -0
- wandb/run-20231119_155754-znnni89w/logs/debug.log +43 -0
- wandb/run-20231119_155754-znnni89w/run-znnni89w.wandb +0 -0
eval.jsonl
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mistral-finetune-own-data.ipynb
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train.jsonl
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verb-workspace/verb.yaml
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build:
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system_packages: []
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python_version: '3.10'
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cuda: 12.0.1
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python_packages:
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- jupyterlab
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run:
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- sh -c "$(curl -fsSL https://raw.githubusercontent.com/ohmyzsh/ohmyzsh/master/tools/install.sh)" "" --unattended
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user:
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shell: zsh
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authorized_keys_path: /home/ubuntu/.ssh/authorized_keys
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ports:
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- '2222:22'
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services:
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- name: jupyter
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entrypoint: jupyter-lab --ip=0.0.0.0 --no-browser --NotebookApp.token='' --NotebookApp.password=''
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ports:
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+
- '8888'
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wandb/debug-internal.log
ADDED
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@@ -0,0 +1 @@
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+
run-20231119_155754-znnni89w/logs/debug-internal.log
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wandb/debug.log
ADDED
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@@ -0,0 +1 @@
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+
run-20231119_155754-znnni89w/logs/debug.log
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wandb/latest-run
ADDED
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@@ -0,0 +1 @@
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+
run-20231119_155754-znnni89w
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wandb/run-20231119_155754-znnni89w/files/config.yaml
ADDED
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@@ -0,0 +1,663 @@
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| 1 |
+
wandb_version: 1
|
| 2 |
+
|
| 3 |
+
_wandb:
|
| 4 |
+
desc: null
|
| 5 |
+
value:
|
| 6 |
+
python_version: 3.10.12
|
| 7 |
+
cli_version: 0.16.0
|
| 8 |
+
framework: huggingface
|
| 9 |
+
huggingface_version: 4.36.0.dev0
|
| 10 |
+
is_jupyter_run: true
|
| 11 |
+
is_kaggle_kernel: false
|
| 12 |
+
start_time: 1700409474.807221
|
| 13 |
+
t:
|
| 14 |
+
1:
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| 15 |
+
- 1
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| 16 |
+
- 11
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| 17 |
+
- 49
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| 18 |
+
- 51
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| 19 |
+
- 55
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| 20 |
+
- 71
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| 21 |
+
- 98
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| 22 |
+
2:
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| 23 |
+
- 1
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| 24 |
+
- 11
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| 25 |
+
- 49
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| 26 |
+
- 51
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| 27 |
+
- 55
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| 28 |
+
- 71
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| 29 |
+
- 98
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| 30 |
+
3:
|
| 31 |
+
- 7
|
| 32 |
+
- 13
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| 33 |
+
- 23
|
| 34 |
+
4: 3.10.12
|
| 35 |
+
5: 0.16.0
|
| 36 |
+
6: 4.36.0.dev0
|
| 37 |
+
8:
|
| 38 |
+
- 1
|
| 39 |
+
- 5
|
| 40 |
+
9:
|
| 41 |
+
1: transformers_trainer
|
| 42 |
+
13: linux-x86_64
|
| 43 |
+
m:
|
| 44 |
+
- 1: train/global_step
|
| 45 |
+
6:
|
| 46 |
+
- 3
|
| 47 |
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ignore_data_skip:
|
| 520 |
+
desc: null
|
| 521 |
+
value: false
|
| 522 |
+
fsdp:
|
| 523 |
+
desc: null
|
| 524 |
+
value: []
|
| 525 |
+
fsdp_min_num_params:
|
| 526 |
+
desc: null
|
| 527 |
+
value: 0
|
| 528 |
+
fsdp_config:
|
| 529 |
+
desc: null
|
| 530 |
+
value:
|
| 531 |
+
min_num_params: 0
|
| 532 |
+
xla: false
|
| 533 |
+
xla_fsdp_grad_ckpt: false
|
| 534 |
+
fsdp_transformer_layer_cls_to_wrap:
|
| 535 |
+
desc: null
|
| 536 |
+
value: null
|
| 537 |
+
deepspeed:
|
| 538 |
+
desc: null
|
| 539 |
+
value: null
|
| 540 |
+
label_smoothing_factor:
|
| 541 |
+
desc: null
|
| 542 |
+
value: 0.0
|
| 543 |
+
optim:
|
| 544 |
+
desc: null
|
| 545 |
+
value: paged_adamw_8bit
|
| 546 |
+
optim_args:
|
| 547 |
+
desc: null
|
| 548 |
+
value: null
|
| 549 |
+
adafactor:
|
| 550 |
+
desc: null
|
| 551 |
+
value: false
|
| 552 |
+
group_by_length:
|
| 553 |
+
desc: null
|
| 554 |
+
value: false
|
| 555 |
+
length_column_name:
|
| 556 |
+
desc: null
|
| 557 |
+
value: length
|
| 558 |
+
report_to:
|
| 559 |
+
desc: null
|
| 560 |
+
value:
|
| 561 |
+
- wandb
|
| 562 |
+
ddp_find_unused_parameters:
|
| 563 |
+
desc: null
|
| 564 |
+
value: null
|
| 565 |
+
ddp_bucket_cap_mb:
|
| 566 |
+
desc: null
|
| 567 |
+
value: null
|
| 568 |
+
ddp_broadcast_buffers:
|
| 569 |
+
desc: null
|
| 570 |
+
value: null
|
| 571 |
+
dataloader_pin_memory:
|
| 572 |
+
desc: null
|
| 573 |
+
value: true
|
| 574 |
+
skip_memory_metrics:
|
| 575 |
+
desc: null
|
| 576 |
+
value: true
|
| 577 |
+
use_legacy_prediction_loop:
|
| 578 |
+
desc: null
|
| 579 |
+
value: false
|
| 580 |
+
push_to_hub:
|
| 581 |
+
desc: null
|
| 582 |
+
value: false
|
| 583 |
+
resume_from_checkpoint:
|
| 584 |
+
desc: null
|
| 585 |
+
value: null
|
| 586 |
+
hub_model_id:
|
| 587 |
+
desc: null
|
| 588 |
+
value: null
|
| 589 |
+
hub_strategy:
|
| 590 |
+
desc: null
|
| 591 |
+
value: every_save
|
| 592 |
+
hub_token:
|
| 593 |
+
desc: null
|
| 594 |
+
value: <HUB_TOKEN>
|
| 595 |
+
hub_private_repo:
|
| 596 |
+
desc: null
|
| 597 |
+
value: false
|
| 598 |
+
hub_always_push:
|
| 599 |
+
desc: null
|
| 600 |
+
value: false
|
| 601 |
+
gradient_checkpointing:
|
| 602 |
+
desc: null
|
| 603 |
+
value: true
|
| 604 |
+
gradient_checkpointing_kwargs:
|
| 605 |
+
desc: null
|
| 606 |
+
value: null
|
| 607 |
+
include_inputs_for_metrics:
|
| 608 |
+
desc: null
|
| 609 |
+
value: false
|
| 610 |
+
fp16_backend:
|
| 611 |
+
desc: null
|
| 612 |
+
value: auto
|
| 613 |
+
push_to_hub_model_id:
|
| 614 |
+
desc: null
|
| 615 |
+
value: null
|
| 616 |
+
push_to_hub_organization:
|
| 617 |
+
desc: null
|
| 618 |
+
value: null
|
| 619 |
+
push_to_hub_token:
|
| 620 |
+
desc: null
|
| 621 |
+
value: <PUSH_TO_HUB_TOKEN>
|
| 622 |
+
mp_parameters:
|
| 623 |
+
desc: null
|
| 624 |
+
value: ''
|
| 625 |
+
auto_find_batch_size:
|
| 626 |
+
desc: null
|
| 627 |
+
value: false
|
| 628 |
+
full_determinism:
|
| 629 |
+
desc: null
|
| 630 |
+
value: false
|
| 631 |
+
torchdynamo:
|
| 632 |
+
desc: null
|
| 633 |
+
value: null
|
| 634 |
+
ray_scope:
|
| 635 |
+
desc: null
|
| 636 |
+
value: last
|
| 637 |
+
ddp_timeout:
|
| 638 |
+
desc: null
|
| 639 |
+
value: 1800
|
| 640 |
+
torch_compile:
|
| 641 |
+
desc: null
|
| 642 |
+
value: false
|
| 643 |
+
torch_compile_backend:
|
| 644 |
+
desc: null
|
| 645 |
+
value: null
|
| 646 |
+
torch_compile_mode:
|
| 647 |
+
desc: null
|
| 648 |
+
value: null
|
| 649 |
+
dispatch_batches:
|
| 650 |
+
desc: null
|
| 651 |
+
value: null
|
| 652 |
+
split_batches:
|
| 653 |
+
desc: null
|
| 654 |
+
value: false
|
| 655 |
+
include_tokens_per_second:
|
| 656 |
+
desc: null
|
| 657 |
+
value: false
|
| 658 |
+
include_num_input_tokens_seen:
|
| 659 |
+
desc: null
|
| 660 |
+
value: false
|
| 661 |
+
neftune_noise_alpha:
|
| 662 |
+
desc: null
|
| 663 |
+
value: null
|
wandb/run-20231119_155754-znnni89w/files/output.log
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
|
| 2 |
+
You're using a LlamaTokenizerFast tokenizer. Please note that with a fast tokenizer, using the `__call__` method is faster than using a method to encode the text followed by a call to the `pad` method to get a padded encoding.
|
| 3 |
+
/home/ubuntu/.pyenv/versions/3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
|
| 4 |
+
warnings.warn(
|
| 5 |
+
/home/ubuntu/.pyenv/versions/3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
|
| 6 |
+
warnings.warn(
|
| 7 |
+
/home/ubuntu/.pyenv/versions/3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
|
| 8 |
+
warnings.warn(
|
| 9 |
+
/home/ubuntu/.pyenv/versions/3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
|
| 10 |
+
warnings.warn(
|
| 11 |
+
/home/ubuntu/.pyenv/versions/3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
|
| 12 |
+
warnings.warn(
|
| 13 |
+
/home/ubuntu/.pyenv/versions/3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
|
| 14 |
+
warnings.warn(
|
| 15 |
+
/home/ubuntu/.pyenv/versions/3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
|
| 16 |
+
warnings.warn(
|
| 17 |
+
/home/ubuntu/.pyenv/versions/3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
|
| 18 |
+
warnings.warn(
|
| 19 |
+
/home/ubuntu/.pyenv/versions/3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
|
| 20 |
+
warnings.warn(
|
| 21 |
+
/home/ubuntu/.pyenv/versions/3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
|
| 22 |
+
warnings.warn(
|
| 23 |
+
/home/ubuntu/.pyenv/versions/3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
|
| 24 |
+
warnings.warn(
|
| 25 |
+
/home/ubuntu/.pyenv/versions/3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
|
| 26 |
+
warnings.warn(
|
| 27 |
+
/home/ubuntu/.pyenv/versions/3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
|
| 28 |
+
warnings.warn(
|
| 29 |
+
/home/ubuntu/.pyenv/versions/3.10.13/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:472: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
|
| 30 |
+
warnings.warn(
|
wandb/run-20231119_155754-znnni89w/files/requirements.txt
ADDED
|
@@ -0,0 +1,156 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
accelerate==0.25.0.dev0
|
| 2 |
+
aiohttp==3.9.0
|
| 3 |
+
aiosignal==1.3.1
|
| 4 |
+
anyio==4.0.0
|
| 5 |
+
appdirs==1.4.4
|
| 6 |
+
argon2-cffi-bindings==21.2.0
|
| 7 |
+
argon2-cffi==23.1.0
|
| 8 |
+
arrow==1.3.0
|
| 9 |
+
asttokens==2.4.1
|
| 10 |
+
async-lru==2.0.4
|
| 11 |
+
async-timeout==4.0.3
|
| 12 |
+
attrs==23.1.0
|
| 13 |
+
babel==2.13.1
|
| 14 |
+
beautifulsoup4==4.12.2
|
| 15 |
+
bitsandbytes==0.41.2.post2
|
| 16 |
+
bleach==6.1.0
|
| 17 |
+
certifi==2023.11.17
|
| 18 |
+
cffi==1.16.0
|
| 19 |
+
charset-normalizer==3.3.2
|
| 20 |
+
click==8.1.7
|
| 21 |
+
comm==0.2.0
|
| 22 |
+
contourpy==1.2.0
|
| 23 |
+
cycler==0.12.1
|
| 24 |
+
datasets==2.15.0
|
| 25 |
+
debugpy==1.8.0
|
| 26 |
+
decorator==5.1.1
|
| 27 |
+
defusedxml==0.7.1
|
| 28 |
+
dill==0.3.7
|
| 29 |
+
docker-pycreds==0.4.0
|
| 30 |
+
exceptiongroup==1.1.3
|
| 31 |
+
executing==2.0.1
|
| 32 |
+
fastjsonschema==2.19.0
|
| 33 |
+
filelock==3.13.1
|
| 34 |
+
fonttools==4.44.3
|
| 35 |
+
fqdn==1.5.1
|
| 36 |
+
frozenlist==1.4.0
|
| 37 |
+
fsspec==2023.10.0
|
| 38 |
+
gitdb==4.0.11
|
| 39 |
+
gitpython==3.1.40
|
| 40 |
+
huggingface-hub==0.19.4
|
| 41 |
+
idna==3.4
|
| 42 |
+
ipykernel==6.26.0
|
| 43 |
+
ipython==8.17.2
|
| 44 |
+
ipywidgets==8.1.1
|
| 45 |
+
isoduration==20.11.0
|
| 46 |
+
jedi==0.19.1
|
| 47 |
+
jinja2==3.1.2
|
| 48 |
+
json5==0.9.14
|
| 49 |
+
jsonpointer==2.4
|
| 50 |
+
jsonschema-specifications==2023.11.1
|
| 51 |
+
jsonschema==4.20.0
|
| 52 |
+
jupyter-client==8.6.0
|
| 53 |
+
jupyter-core==5.5.0
|
| 54 |
+
jupyter-events==0.9.0
|
| 55 |
+
jupyter-lsp==2.2.0
|
| 56 |
+
jupyter-server-terminals==0.4.4
|
| 57 |
+
jupyter-server==2.10.1
|
| 58 |
+
jupyterlab-pygments==0.2.2
|
| 59 |
+
jupyterlab-server==2.25.2
|
| 60 |
+
jupyterlab-widgets==3.0.9
|
| 61 |
+
jupyterlab==4.0.9
|
| 62 |
+
kiwisolver==1.4.5
|
| 63 |
+
markupsafe==2.1.3
|
| 64 |
+
matplotlib-inline==0.1.6
|
| 65 |
+
matplotlib==3.8.2
|
| 66 |
+
mistune==3.0.2
|
| 67 |
+
mpmath==1.3.0
|
| 68 |
+
multidict==6.0.4
|
| 69 |
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multiprocess==0.70.15
|
| 70 |
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nbclient==0.9.0
|
| 71 |
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nbconvert==7.11.0
|
| 72 |
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nbformat==5.9.2
|
| 73 |
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nest-asyncio==1.5.8
|
| 74 |
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networkx==3.2.1
|
| 75 |
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notebook-shim==0.2.3
|
| 76 |
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numpy==1.26.2
|
| 77 |
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nvidia-cublas-cu12==12.1.3.1
|
| 78 |
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nvidia-cuda-cupti-cu12==12.1.105
|
| 79 |
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nvidia-cuda-nvrtc-cu12==12.1.105
|
| 80 |
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nvidia-cuda-runtime-cu12==12.1.105
|
| 81 |
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nvidia-cudnn-cu12==8.9.2.26
|
| 82 |
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nvidia-cufft-cu12==11.0.2.54
|
| 83 |
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nvidia-curand-cu12==10.3.2.106
|
| 84 |
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nvidia-cusolver-cu12==11.4.5.107
|
| 85 |
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nvidia-cusparse-cu12==12.1.0.106
|
| 86 |
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nvidia-nccl-cu12==2.18.1
|
| 87 |
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nvidia-nvjitlink-cu12==12.3.101
|
| 88 |
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nvidia-nvtx-cu12==12.1.105
|
| 89 |
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overrides==7.4.0
|
| 90 |
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packaging==23.2
|
| 91 |
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pandas==2.1.3
|
| 92 |
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pandocfilters==1.5.0
|
| 93 |
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parso==0.8.3
|
| 94 |
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peft==0.6.3.dev0
|
| 95 |
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pexpect==4.8.0
|
| 96 |
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pillow==10.1.0
|
| 97 |
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pip==23.0.1
|
| 98 |
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platformdirs==4.0.0
|
| 99 |
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prometheus-client==0.18.0
|
| 100 |
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prompt-toolkit==3.0.41
|
| 101 |
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protobuf==4.25.1
|
| 102 |
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psutil==5.9.6
|
| 103 |
+
ptyprocess==0.7.0
|
| 104 |
+
pure-eval==0.2.2
|
| 105 |
+
pyarrow-hotfix==0.5
|
| 106 |
+
pyarrow==14.0.1
|
| 107 |
+
pycparser==2.21
|
| 108 |
+
pygments==2.17.1
|
| 109 |
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pyparsing==3.1.1
|
| 110 |
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python-dateutil==2.8.2
|
| 111 |
+
python-json-logger==2.0.7
|
| 112 |
+
pytz==2023.3.post1
|
| 113 |
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pyyaml==6.0.1
|
| 114 |
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pyzmq==25.1.1
|
| 115 |
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referencing==0.31.0
|
| 116 |
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regex==2023.10.3
|
| 117 |
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requests==2.31.0
|
| 118 |
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rfc3339-validator==0.1.4
|
| 119 |
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rfc3986-validator==0.1.1
|
| 120 |
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rpds-py==0.13.0
|
| 121 |
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safetensors==0.4.0
|
| 122 |
+
scipy==1.11.4
|
| 123 |
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send2trash==1.8.2
|
| 124 |
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sentry-sdk==1.35.0
|
| 125 |
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setproctitle==1.3.3
|
| 126 |
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setuptools==65.5.0
|
| 127 |
+
six==1.16.0
|
| 128 |
+
smmap==5.0.1
|
| 129 |
+
sniffio==1.3.0
|
| 130 |
+
soupsieve==2.5
|
| 131 |
+
stack-data==0.6.3
|
| 132 |
+
sympy==1.12
|
| 133 |
+
terminado==0.18.0
|
| 134 |
+
tinycss2==1.2.1
|
| 135 |
+
tokenizers==0.15.0
|
| 136 |
+
tomli==2.0.1
|
| 137 |
+
torch==2.1.1
|
| 138 |
+
tornado==6.3.3
|
| 139 |
+
tqdm==4.66.1
|
| 140 |
+
traitlets==5.13.0
|
| 141 |
+
transformers==4.36.0.dev0
|
| 142 |
+
triton==2.1.0
|
| 143 |
+
types-python-dateutil==2.8.19.14
|
| 144 |
+
typing-extensions==4.8.0
|
| 145 |
+
tzdata==2023.3
|
| 146 |
+
uri-template==1.3.0
|
| 147 |
+
urllib3==2.1.0
|
| 148 |
+
wandb==0.16.0
|
| 149 |
+
wcwidth==0.2.10
|
| 150 |
+
webcolors==1.13
|
| 151 |
+
webencodings==0.5.1
|
| 152 |
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websocket-client==1.6.4
|
| 153 |
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wheel==0.41.3
|
| 154 |
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widgetsnbextension==4.0.9
|
| 155 |
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xxhash==3.4.1
|
| 156 |
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yarl==1.9.2
|
wandb/run-20231119_155754-znnni89w/files/wandb-metadata.json
ADDED
|
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|
|
|
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|
|
|
|
|
|
|
|
|
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|
|
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|
|
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|
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|
|
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|
|
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|
|
|
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|
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|
|
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|
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|
|
|
|
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|
|
|
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|
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|
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|
|
|
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|
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|
|
|
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|
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|
|
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|
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|
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|
|
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|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"os": "Linux-5.15.0-1021-aws-x86_64-with-glibc2.35",
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| 3 |
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| 8 |
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| 9 |
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| 10 |
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| 11 |
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| 12 |
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| 13 |
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| 14 |
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| 30 |
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| 54 |
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| 55 |
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"name": "NVIDIA A10G",
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| 58 |
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wandb/run-20231119_155754-znnni89w/files/wandb-summary.json
ADDED
|
@@ -0,0 +1 @@
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| 1 |
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{"train/loss": 1.3415, "train/learning_rate": 1.8537074148296592e-05, "train/epoch": 0.33, "train/global_step": 130, "_timestamp": 1700413375.3028648, "_runtime": 3900.4956438541412, "_step": 24, "eval/loss": 1.4165884256362915, "eval/runtime": 221.7346, "eval/samples_per_second": 0.902, "eval/steps_per_second": 0.113, "_wandb": {"runtime": 3816}}
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wandb/run-20231119_155754-znnni89w/logs/debug-internal.log
ADDED
|
The diff for this file is too large to render.
See raw diff
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|
wandb/run-20231119_155754-znnni89w/logs/debug.log
ADDED
|
@@ -0,0 +1,43 @@
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|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
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2023-11-19 15:57:54,804 INFO MainThread:248 [wandb_setup.py:_flush():76] Current SDK version is 0.16.0
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| 2 |
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| 3 |
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2023-11-19 15:57:54,804 INFO MainThread:248 [wandb_setup.py:_flush():76] Loading settings from /home/ubuntu/.config/wandb/settings
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| 4 |
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2023-11-19 15:57:54,804 INFO MainThread:248 [wandb_setup.py:_flush():76] Loading settings from /home/ubuntu/wandb/settings
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| 5 |
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2023-11-19 15:57:54,804 INFO MainThread:248 [wandb_setup.py:_flush():76] Loading settings from environment variables: {}
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| 6 |
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2023-11-19 15:57:54,804 INFO MainThread:248 [wandb_setup.py:_flush():76] Inferring run settings from compute environment: {'program': '<python with no main file>'}
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| 7 |
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2023-11-19 15:57:54,804 INFO MainThread:248 [wandb_setup.py:_flush():76] Applying login settings: {'api_key': '***REDACTED***'}
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| 8 |
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2023-11-19 15:57:54,804 INFO MainThread:248 [wandb_init.py:_log_setup():524] Logging user logs to /home/ubuntu/wandb/run-20231119_155754-znnni89w/logs/debug.log
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| 9 |
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2023-11-19 15:57:54,804 INFO MainThread:248 [wandb_init.py:_log_setup():525] Logging internal logs to /home/ubuntu/wandb/run-20231119_155754-znnni89w/logs/debug-internal.log
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| 10 |
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2023-11-19 15:57:54,804 INFO MainThread:248 [wandb_init.py:_jupyter_setup():470] configuring jupyter hooks <wandb.sdk.wandb_init._WandbInit object at 0x7fcc0082a710>
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| 11 |
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2023-11-19 15:57:54,804 INFO MainThread:248 [wandb_init.py:init():564] calling init triggers
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| 12 |
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2023-11-19 15:57:54,804 INFO MainThread:248 [wandb_init.py:init():571] wandb.init called with sweep_config: {}
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| 13 |
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config: {}
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| 14 |
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2023-11-19 15:57:54,805 INFO MainThread:248 [wandb_init.py:init():614] starting backend
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| 15 |
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2023-11-19 15:57:54,805 INFO MainThread:248 [wandb_init.py:init():618] setting up manager
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| 16 |
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2023-11-19 15:57:54,806 INFO MainThread:248 [backend.py:_multiprocessing_setup():105] multiprocessing start_methods=fork,spawn,forkserver, using: spawn
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| 17 |
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2023-11-19 15:57:54,807 INFO MainThread:248 [wandb_init.py:init():624] backend started and connected
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| 18 |
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2023-11-19 15:57:54,812 INFO MainThread:248 [wandb_run.py:_label_probe_notebook():1294] probe notebook
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| 19 |
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2023-11-19 15:57:54,813 INFO MainThread:248 [wandb_run.py:_label_probe_notebook():1304] Unable to probe notebook: 'ascii' codec can't decode byte 0xe2 in position 141509: ordinal not in range(128)
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| 20 |
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2023-11-19 15:57:54,813 INFO MainThread:248 [wandb_init.py:init():716] updated telemetry
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| 21 |
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2023-11-19 15:57:54,819 INFO MainThread:248 [wandb_init.py:init():749] communicating run to backend with 90.0 second timeout
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| 22 |
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2023-11-19 15:57:56,070 INFO MainThread:248 [wandb_run.py:_on_init():2254] communicating current version
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2023-11-19 15:57:56,179 INFO MainThread:248 [wandb_init.py:init():800] starting run threads in backend
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| 25 |
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2023-11-19 15:57:56,253 INFO MainThread:248 [wandb_run.py:_console_start():2233] atexit reg
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| 26 |
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2023-11-19 15:57:56,253 INFO MainThread:248 [wandb_run.py:_redirect():2088] redirect: wrap_raw
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2023-11-19 15:57:56,253 INFO MainThread:248 [wandb_run.py:_redirect():2153] Wrapping output streams.
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| 28 |
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2023-11-19 15:57:56,253 INFO MainThread:248 [wandb_run.py:_redirect():2178] Redirects installed.
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| 29 |
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2023-11-19 15:57:56,254 INFO MainThread:248 [wandb_init.py:init():841] run started, returning control to user process
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| 30 |
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2023-11-19 15:57:56,259 INFO MainThread:248 [wandb_run.py:_config_callback():1342] config_cb None None {'vocab_size': 32000, 'max_position_embeddings': 32768, 'hidden_size': 4096, 'intermediate_size': 14336, 'num_hidden_layers': 32, 'num_attention_heads': 32, 'num_key_value_heads': 8, 'hidden_act': 'silu', 'initializer_range': 0.02, 'rms_norm_eps': 1e-05, 'pretraining_tp': 1, 'use_cache': False, 'rope_theta': 10000.0, 'rope_scaling': None, 'attention_bias': False, 'attention_dropout': 0.0, 'return_dict': True, 'output_hidden_states': False, 'output_attentions': False, 'torchscript': False, 'torch_dtype': 'float16', 'use_bfloat16': False, 'tf_legacy_loss': False, 'pruned_heads': {}, 'tie_word_embeddings': False, 'is_encoder_decoder': False, 'is_decoder': False, 'cross_attention_hidden_size': None, 'add_cross_attention': False, 'tie_encoder_decoder': False, 'max_length': 20, 'min_length': 0, 'do_sample': False, 'early_stopping': False, 'num_beams': 1, 'num_beam_groups': 1, 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'max_grad_norm': 1.0, 'num_train_epochs': 3.0, 'max_steps': 500, 'lr_scheduler_type': 'linear', 'lr_scheduler_kwargs': {}, 'warmup_ratio': 0.0, 'warmup_steps': 1, 'log_level': 'passive', 'log_level_replica': 'warning', 'log_on_each_node': True, 'logging_dir': 'https://drive.google.com/drive/folders/1Vbwwv3NUPw2DbUwobSlQl7wS6MSmAc-f?usp=drive_link', 'logging_strategy': 'steps', 'logging_first_step': False, 'logging_steps': 10, 'logging_nan_inf_filter': True, 'save_strategy': 'steps', 'save_steps': 10, 'save_total_limit': None, 'save_safetensors': True, 'save_on_each_node': False, 'no_cuda': False, 'use_cpu': False, 'use_mps_device': False, 'seed': 42, 'data_seed': None, 'jit_mode_eval': False, 'use_ipex': False, 'bf16': True, 'fp16': False, 'fp16_opt_level': 'O1', 'half_precision_backend': 'auto', 'bf16_full_eval': False, 'fp16_full_eval': False, 'tf32': None, 'local_rank': 0, 'ddp_backend': None, 'tpu_num_cores': None, 'tpu_metrics_debug': False, 'debug': [], 'dataloader_drop_last': False, 'eval_steps': 10, 'dataloader_num_workers': 0, 'past_index': -1, 'run_name': 'mistral-finetune-2023-11-19-15-57', 'disable_tqdm': False, 'remove_unused_columns': True, 'label_names': None, 'load_best_model_at_end': False, 'metric_for_best_model': None, 'greater_is_better': None, 'ignore_data_skip': False, 'fsdp': [], 'fsdp_min_num_params': 0, 'fsdp_config': {'min_num_params': 0, 'xla': False, 'xla_fsdp_grad_ckpt': False}, 'fsdp_transformer_layer_cls_to_wrap': None, 'deepspeed': None, 'label_smoothing_factor': 0.0, 'optim': 'paged_adamw_8bit', 'optim_args': None, 'adafactor': False, 'group_by_length': False, 'length_column_name': 'length', 'report_to': ['wandb'], 'ddp_find_unused_parameters': None, 'ddp_bucket_cap_mb': None, 'ddp_broadcast_buffers': None, 'dataloader_pin_memory': True, 'skip_memory_metrics': True, 'use_legacy_prediction_loop': False, 'push_to_hub': False, 'resume_from_checkpoint': None, 'hub_model_id': None, 'hub_strategy': 'every_save', 'hub_token': '<HUB_TOKEN>', 'hub_private_repo': False, 'hub_always_push': False, 'gradient_checkpointing': True, 'gradient_checkpointing_kwargs': None, 'include_inputs_for_metrics': False, 'fp16_backend': 'auto', 'push_to_hub_model_id': None, 'push_to_hub_organization': None, 'push_to_hub_token': '<PUSH_TO_HUB_TOKEN>', 'mp_parameters': '', 'auto_find_batch_size': False, 'full_determinism': False, 'torchdynamo': None, 'ray_scope': 'last', 'ddp_timeout': 1800, 'torch_compile': False, 'torch_compile_backend': None, 'torch_compile_mode': None, 'dispatch_batches': None, 'split_batches': False, 'include_tokens_per_second': False, 'include_num_input_tokens_seen': False, 'neftune_noise_alpha': None}
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2023-11-19 15:59:54,433 INFO MainThread:248 [wandb_run.py:_config_callback():1342] config_cb None None {'vocab_size': 32000, 'max_position_embeddings': 32768, 'hidden_size': 4096, 'intermediate_size': 14336, 'num_hidden_layers': 32, 'num_attention_heads': 32, 'num_key_value_heads': 8, 'hidden_act': 'silu', 'initializer_range': 0.02, 'rms_norm_eps': 1e-05, 'pretraining_tp': 1, 'use_cache': False, 'rope_theta': 10000.0, 'rope_scaling': None, 'attention_bias': False, 'attention_dropout': 0.0, 'return_dict': True, 'output_hidden_states': False, 'output_attentions': False, 'torchscript': False, 'torch_dtype': 'float16', 'use_bfloat16': False, 'tf_legacy_loss': False, 'pruned_heads': {}, 'tie_word_embeddings': False, 'is_encoder_decoder': False, 'is_decoder': False, 'cross_attention_hidden_size': None, 'add_cross_attention': False, 'tie_encoder_decoder': False, 'max_length': 20, 'min_length': 0, 'do_sample': False, 'early_stopping': False, 'num_beams': 1, 'num_beam_groups': 1, 'diversity_penalty': 0.0, 'temperature': 1.0, 'top_k': 50, 'top_p': 1.0, 'typical_p': 1.0, 'repetition_penalty': 1.0, 'length_penalty': 1.0, 'no_repeat_ngram_size': 0, 'encoder_no_repeat_ngram_size': 0, 'bad_words_ids': None, 'num_return_sequences': 1, 'chunk_size_feed_forward': 0, 'output_scores': False, 'return_dict_in_generate': False, 'forced_bos_token_id': None, 'forced_eos_token_id': None, 'remove_invalid_values': False, 'exponential_decay_length_penalty': None, 'suppress_tokens': None, 'begin_suppress_tokens': None, 'architectures': ['LlamaForCausalLM'], 'finetuning_task': None, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'tokenizer_class': None, 'prefix': None, 'bos_token_id': 1, 'pad_token_id': None, 'eos_token_id': 2, 'sep_token_id': None, 'decoder_start_token_id': None, 'task_specific_params': None, 'problem_type': None, '_name_or_path': 'filipealmeida/Mistral-7B-v0.1-sharded', 'transformers_version': '4.36.0.dev0', 'model_type': 'llama', 'sliding_window': 4096, 'quantization_config': {'quant_method': 'QuantizationMethod.BITS_AND_BYTES', 'load_in_8bit': False, 'load_in_4bit': True, 'llm_int8_threshold': 6.0, 'llm_int8_skip_modules': None, 'llm_int8_enable_fp32_cpu_offload': False, 'llm_int8_has_fp16_weight': False, 'bnb_4bit_quant_type': 'nf4', 'bnb_4bit_use_double_quant': True, 'bnb_4bit_compute_dtype': 'bfloat16'}, 'output_dir': 'https://drive.google.com/drive/folders/1br7ACyOyuwqaV12bJdCCqHBN0VPh25Go?usp=drive_linkmistral-finetune', 'overwrite_output_dir': False, 'do_train': False, 'do_eval': True, 'do_predict': False, 'evaluation_strategy': 'steps', 'prediction_loss_only': False, 'per_device_train_batch_size': 2, 'per_device_eval_batch_size': 8, 'per_gpu_train_batch_size': None, 'per_gpu_eval_batch_size': None, 'gradient_accumulation_steps': 1, 'eval_accumulation_steps': None, 'eval_delay': 0, 'learning_rate': 2.5e-05, 'weight_decay': 0.0, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'max_grad_norm': 1.0, 'num_train_epochs': 3.0, 'max_steps': 500, 'lr_scheduler_type': 'linear', 'lr_scheduler_kwargs': {}, 'warmup_ratio': 0.0, 'warmup_steps': 1, 'log_level': 'passive', 'log_level_replica': 'warning', 'log_on_each_node': True, 'logging_dir': 'https://drive.google.com/drive/folders/1Vbwwv3NUPw2DbUwobSlQl7wS6MSmAc-f?usp=drive_link', 'logging_strategy': 'steps', 'logging_first_step': False, 'logging_steps': 10, 'logging_nan_inf_filter': True, 'save_strategy': 'steps', 'save_steps': 10, 'save_total_limit': None, 'save_safetensors': True, 'save_on_each_node': False, 'no_cuda': False, 'use_cpu': False, 'use_mps_device': False, 'seed': 42, 'data_seed': None, 'jit_mode_eval': False, 'use_ipex': False, 'bf16': True, 'fp16': False, 'fp16_opt_level': 'O1', 'half_precision_backend': 'auto', 'bf16_full_eval': False, 'fp16_full_eval': False, 'tf32': None, 'local_rank': 0, 'ddp_backend': None, 'tpu_num_cores': None, 'tpu_metrics_debug': False, 'debug': [], 'dataloader_drop_last': False, 'eval_steps': 10, 'dataloader_num_workers': 0, 'past_index': -1, 'run_name': 'mistral-finetune-2023-11-19-15-59', 'disable_tqdm': False, 'remove_unused_columns': True, 'label_names': None, 'load_best_model_at_end': False, 'metric_for_best_model': None, 'greater_is_better': None, 'ignore_data_skip': False, 'fsdp': [], 'fsdp_min_num_params': 0, 'fsdp_config': {'min_num_params': 0, 'xla': False, 'xla_fsdp_grad_ckpt': False}, 'fsdp_transformer_layer_cls_to_wrap': None, 'deepspeed': None, 'label_smoothing_factor': 0.0, 'optim': 'paged_adamw_8bit', 'optim_args': None, 'adafactor': False, 'group_by_length': False, 'length_column_name': 'length', 'report_to': ['wandb'], 'ddp_find_unused_parameters': None, 'ddp_bucket_cap_mb': None, 'ddp_broadcast_buffers': None, 'dataloader_pin_memory': True, 'skip_memory_metrics': True, 'use_legacy_prediction_loop': False, 'push_to_hub': False, 'resume_from_checkpoint': None, 'hub_model_id': None, 'hub_strategy': 'every_save', 'hub_token': '<HUB_TOKEN>', 'hub_private_repo': False, 'hub_always_push': False, 'gradient_checkpointing': True, 'gradient_checkpointing_kwargs': None, 'include_inputs_for_metrics': False, 'fp16_backend': 'auto', 'push_to_hub_model_id': None, 'push_to_hub_organization': None, 'push_to_hub_token': '<PUSH_TO_HUB_TOKEN>', 'mp_parameters': '', 'auto_find_batch_size': False, 'full_determinism': False, 'torchdynamo': None, 'ray_scope': 'last', 'ddp_timeout': 1800, 'torch_compile': False, 'torch_compile_backend': None, 'torch_compile_mode': None, 'dispatch_batches': None, 'split_batches': False, 'include_tokens_per_second': False, 'include_num_input_tokens_seen': False, 'neftune_noise_alpha': None}
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2023-11-19 16:01:15,985 INFO MainThread:248 [wandb_run.py:_config_callback():1342] config_cb None None {'vocab_size': 32000, 'max_position_embeddings': 32768, 'hidden_size': 4096, 'intermediate_size': 14336, 'num_hidden_layers': 32, 'num_attention_heads': 32, 'num_key_value_heads': 8, 'hidden_act': 'silu', 'initializer_range': 0.02, 'rms_norm_eps': 1e-05, 'pretraining_tp': 1, 'use_cache': False, 'rope_theta': 10000.0, 'rope_scaling': None, 'attention_bias': False, 'attention_dropout': 0.0, 'return_dict': True, 'output_hidden_states': False, 'output_attentions': False, 'torchscript': False, 'torch_dtype': 'float16', 'use_bfloat16': False, 'tf_legacy_loss': False, 'pruned_heads': {}, 'tie_word_embeddings': False, 'is_encoder_decoder': False, 'is_decoder': False, 'cross_attention_hidden_size': None, 'add_cross_attention': False, 'tie_encoder_decoder': False, 'max_length': 20, 'min_length': 0, 'do_sample': False, 'early_stopping': False, 'num_beams': 1, 'num_beam_groups': 1, 'diversity_penalty': 0.0, 'temperature': 1.0, 'top_k': 50, 'top_p': 1.0, 'typical_p': 1.0, 'repetition_penalty': 1.0, 'length_penalty': 1.0, 'no_repeat_ngram_size': 0, 'encoder_no_repeat_ngram_size': 0, 'bad_words_ids': None, 'num_return_sequences': 1, 'chunk_size_feed_forward': 0, 'output_scores': False, 'return_dict_in_generate': False, 'forced_bos_token_id': None, 'forced_eos_token_id': None, 'remove_invalid_values': False, 'exponential_decay_length_penalty': None, 'suppress_tokens': None, 'begin_suppress_tokens': None, 'architectures': ['LlamaForCausalLM'], 'finetuning_task': None, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'tokenizer_class': None, 'prefix': None, 'bos_token_id': 1, 'pad_token_id': None, 'eos_token_id': 2, 'sep_token_id': None, 'decoder_start_token_id': None, 'task_specific_params': None, 'problem_type': None, '_name_or_path': 'filipealmeida/Mistral-7B-v0.1-sharded', 'transformers_version': '4.36.0.dev0', 'model_type': 'llama', 'sliding_window': 4096, 'quantization_config': {'quant_method': 'QuantizationMethod.BITS_AND_BYTES', 'load_in_8bit': False, 'load_in_4bit': True, 'llm_int8_threshold': 6.0, 'llm_int8_skip_modules': None, 'llm_int8_enable_fp32_cpu_offload': False, 'llm_int8_has_fp16_weight': False, 'bnb_4bit_quant_type': 'nf4', 'bnb_4bit_use_double_quant': True, 'bnb_4bit_compute_dtype': 'bfloat16'}, 'output_dir': './mistral-finetune', 'overwrite_output_dir': False, 'do_train': False, 'do_eval': True, 'do_predict': False, 'evaluation_strategy': 'steps', 'prediction_loss_only': False, 'per_device_train_batch_size': 2, 'per_device_eval_batch_size': 8, 'per_gpu_train_batch_size': None, 'per_gpu_eval_batch_size': None, 'gradient_accumulation_steps': 1, 'eval_accumulation_steps': None, 'eval_delay': 0, 'learning_rate': 2.5e-05, 'weight_decay': 0.0, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'max_grad_norm': 1.0, 'num_train_epochs': 3.0, 'max_steps': 500, 'lr_scheduler_type': 'linear', 'lr_scheduler_kwargs': {}, 'warmup_ratio': 0.0, 'warmup_steps': 1, 'log_level': 'passive', 'log_level_replica': 'warning', 'log_on_each_node': True, 'logging_dir': './logs', 'logging_strategy': 'steps', 'logging_first_step': False, 'logging_steps': 10, 'logging_nan_inf_filter': True, 'save_strategy': 'steps', 'save_steps': 10, 'save_total_limit': None, 'save_safetensors': True, 'save_on_each_node': False, 'no_cuda': False, 'use_cpu': False, 'use_mps_device': False, 'seed': 42, 'data_seed': None, 'jit_mode_eval': False, 'use_ipex': False, 'bf16': True, 'fp16': False, 'fp16_opt_level': 'O1', 'half_precision_backend': 'auto', 'bf16_full_eval': False, 'fp16_full_eval': False, 'tf32': None, 'local_rank': 0, 'ddp_backend': None, 'tpu_num_cores': None, 'tpu_metrics_debug': False, 'debug': [], 'dataloader_drop_last': False, 'eval_steps': 10, 'dataloader_num_workers': 0, 'past_index': -1, 'run_name': 'mistral-finetune-2023-11-19-16-01', 'disable_tqdm': False, 'remove_unused_columns': True, 'label_names': None, 'load_best_model_at_end': False, 'metric_for_best_model': None, 'greater_is_better': None, 'ignore_data_skip': False, 'fsdp': [], 'fsdp_min_num_params': 0, 'fsdp_config': {'min_num_params': 0, 'xla': False, 'xla_fsdp_grad_ckpt': False}, 'fsdp_transformer_layer_cls_to_wrap': None, 'deepspeed': None, 'label_smoothing_factor': 0.0, 'optim': 'paged_adamw_8bit', 'optim_args': None, 'adafactor': False, 'group_by_length': False, 'length_column_name': 'length', 'report_to': ['wandb'], 'ddp_find_unused_parameters': None, 'ddp_bucket_cap_mb': None, 'ddp_broadcast_buffers': None, 'dataloader_pin_memory': True, 'skip_memory_metrics': True, 'use_legacy_prediction_loop': False, 'push_to_hub': False, 'resume_from_checkpoint': None, 'hub_model_id': None, 'hub_strategy': 'every_save', 'hub_token': '<HUB_TOKEN>', 'hub_private_repo': False, 'hub_always_push': False, 'gradient_checkpointing': True, 'gradient_checkpointing_kwargs': None, 'include_inputs_for_metrics': False, 'fp16_backend': 'auto', 'push_to_hub_model_id': None, 'push_to_hub_organization': None, 'push_to_hub_token': '<PUSH_TO_HUB_TOKEN>', 'mp_parameters': '', 'auto_find_batch_size': False, 'full_determinism': False, 'torchdynamo': None, 'ray_scope': 'last', 'ddp_timeout': 1800, 'torch_compile': False, 'torch_compile_backend': None, 'torch_compile_mode': None, 'dispatch_batches': None, 'split_batches': False, 'include_tokens_per_second': False, 'include_num_input_tokens_seen': False, 'neftune_noise_alpha': None}
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