|
--- |
|
base_model: meta-llama/Meta-Llama-3-8B |
|
library_name: peft |
|
license: llama3 |
|
metrics: |
|
- accuracy |
|
- precision |
|
- recall |
|
- f1 |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: Output_llama2_70-15-15_new |
|
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. --> |
|
|
|
# Output_llama2_70-15-15_new |
|
|
|
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.6310 |
|
- Accuracy: 0.6474 |
|
- Precision: 0.6760 |
|
- Recall: 0.6474 |
|
- F1: 0.6376 |
|
|
|
## 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: 1e-05 |
|
- train_batch_size: 16 |
|
- eval_batch_size: 16 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 10 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:| |
|
| No log | 1.0 | 46 | 0.7791 | 0.4808 | 0.2311 | 0.4808 | 0.3122 | |
|
| No log | 2.0 | 92 | 0.7556 | 0.4872 | 0.7519 | 0.4872 | 0.3262 | |
|
| No log | 3.0 | 138 | 0.7071 | 0.5064 | 0.5708 | 0.5064 | 0.4086 | |
|
| No log | 4.0 | 184 | 0.7045 | 0.5 | 0.5549 | 0.5 | 0.3971 | |
|
| No log | 5.0 | 230 | 0.6714 | 0.5705 | 0.6227 | 0.5705 | 0.5340 | |
|
| No log | 6.0 | 276 | 0.6976 | 0.4936 | 0.5303 | 0.4936 | 0.3932 | |
|
| No log | 7.0 | 322 | 0.6453 | 0.6603 | 0.6906 | 0.6603 | 0.6507 | |
|
| No log | 8.0 | 368 | 0.6640 | 0.5769 | 0.6429 | 0.5769 | 0.5354 | |
|
| No log | 9.0 | 414 | 0.6460 | 0.6154 | 0.6643 | 0.6154 | 0.5928 | |
|
| No log | 10.0 | 460 | 0.6310 | 0.6474 | 0.6760 | 0.6474 | 0.6376 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.10.0 |
|
- Transformers 4.41.2 |
|
- Pytorch 2.3.1+cu121 |
|
- Datasets 3.2.0 |
|
- Tokenizers 0.19.1 |
