---
library_name: transformers
base_model: hf-internal-testing/tiny-random-distilbert
tags:
- trackio
- trackio:https://huggingface.co/spaces/abidlabs/huggingface-z2Cawosa6itL4l1LakX80g
- generated_from_trainer
model-index:
- name: test_push_output_4
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

<a href="https://huggingface.co/spaces/abidlabs/huggingface-z2Cawosa6itL4l1LakX80g" target="_blank"><img src="https://raw.githubusercontent.com/gradio-app/trackio/refs/heads/main/trackio/assets/badge.png" alt="Visualize in Trackio" title="Visualize in Trackio" style="height: 40px;"/></a>
# test_push_output_4

This model is a fine-tuned version of [hf-internal-testing/tiny-random-distilbert](https://huggingface.co/hf-internal-testing/tiny-random-distilbert) on an unknown dataset.

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- training_steps: 3

### Training results



### Framework versions

- Transformers 5.0.0.dev0
- Pytorch 2.9.1
- Datasets 4.4.1
- Tokenizers 0.22.1