metadata
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: []
cls_finred_llama3_v3
This model is a fine-tuned version of 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