|
--- |
|
license: llama3 |
|
library_name: peft |
|
tags: |
|
- trl |
|
- sft |
|
- generated_from_trainer |
|
base_model: meta-llama/Meta-Llama-3-8B-Instruct |
|
datasets: |
|
- generator |
|
model-index: |
|
- name: cls_finred_llama3_v3 |
|
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. --> |
|
|
|
# cls_finred_llama3_v3 |
|
|
|
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the generator dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.4113 |
|
|
|
## 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: 0.0002 |
|
- train_batch_size: 2 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 4 |
|
- total_train_batch_size: 8 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: constant |
|
- lr_scheduler_warmup_ratio: 0.03 |
|
- num_epochs: 2 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:------:|:----:|:---------------:| |
|
| 0.7177 | 0.1116 | 20 | 0.6751 | |
|
| 0.6323 | 0.2232 | 40 | 0.6166 | |
|
| 0.6119 | 0.3347 | 60 | 0.5802 | |
|
| 0.5471 | 0.4463 | 80 | 0.5532 | |
|
| 0.5299 | 0.5579 | 100 | 0.5321 | |
|
| 0.5265 | 0.6695 | 120 | 0.5062 | |
|
| 0.5306 | 0.7810 | 140 | 0.4888 | |
|
| 0.5094 | 0.8926 | 160 | 0.4764 | |
|
| 0.4769 | 1.0042 | 180 | 0.4640 | |
|
| 0.342 | 1.1158 | 200 | 0.4644 | |
|
| 0.3271 | 1.2273 | 220 | 0.4534 | |
|
| 0.342 | 1.3389 | 240 | 0.4448 | |
|
| 0.3659 | 1.4505 | 260 | 0.4395 | |
|
| 0.3159 | 1.5621 | 280 | 0.4284 | |
|
| 0.3356 | 1.6736 | 300 | 0.4248 | |
|
| 0.3476 | 1.7852 | 320 | 0.4165 | |
|
| 0.3168 | 1.8968 | 340 | 0.4113 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.11.1 |
|
- Transformers 4.41.1 |
|
- Pytorch 2.3.0+cu121 |
|
- Datasets 2.19.1 |
|
- Tokenizers 0.19.1 |
