metadata
library_name: transformers
license: llama3.1
base_model: bif02/classifier_llama_86
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
model-index:
- name: classifier_llama_86
results: []
classifier_llama_86
This model is a fine-tuned version of bif02/classifier_llama_86 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6942
- Accuracy: 0.4392
- Precision: 0.4392
- Recall: 1.0
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: 0.001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 0
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: polynomial
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall |
|---|---|---|---|---|---|---|
| No log | 1.0 | 358 | 0.6954 | 0.4392 | 0.4392 | 1.0 |
| 0.6953 | 2.0 | 716 | 0.6960 | 0.4392 | 0.4392 | 1.0 |
| 0.6945 | 3.0 | 1074 | 0.6913 | 0.5608 | 0.0 | 0.0 |
| 0.6945 | 4.0 | 1432 | 0.6939 | 0.4392 | 0.4392 | 1.0 |
| 0.6938 | 5.0 | 1790 | 0.6924 | 0.5608 | 0.0 | 0.0 |
| 0.6938 | 6.0 | 2148 | 0.6934 | 0.4392 | 0.4392 | 1.0 |
| 0.6936 | 7.0 | 2506 | 0.6932 | 0.4392 | 0.4392 | 1.0 |
| 0.6936 | 8.0 | 2864 | 0.6942 | 0.4392 | 0.4392 | 1.0 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.19.1