metadata
base_model: meta-llama/Llama-2-7b-hf
tags:
- generated_from_trainer
model-index:
- name: llama_finetune_race_20
results: []
llama_finetune_race_20
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.4534
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: 0.0001
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.2478 | 1.0 | 150 | 1.4180 |
| 0.7183 | 2.0 | 300 | 1.4867 |
| 0.5553 | 3.0 | 450 | 1.6282 |
| 0.6139 | 4.0 | 600 | 1.8190 |
| 0.2089 | 5.0 | 750 | 1.9858 |
| 0.1597 | 6.0 | 900 | 2.1239 |
| 0.1706 | 7.0 | 1050 | 2.2716 |
| 0.1075 | 8.0 | 1200 | 2.4046 |
| 0.0903 | 9.0 | 1350 | 2.5014 |
| 0.0755 | 10.0 | 1500 | 2.5739 |
| 0.0686 | 11.0 | 1650 | 2.7048 |
| 0.0547 | 12.0 | 1800 | 2.6282 |
| 0.0495 | 13.0 | 1950 | 2.8231 |
| 0.0455 | 14.0 | 2100 | 3.0115 |
| 0.0415 | 15.0 | 2250 | 3.0576 |
| 0.0436 | 16.0 | 2400 | 3.2100 |
| 0.048 | 17.0 | 2550 | 3.3084 |
| 0.0396 | 18.0 | 2700 | 3.3839 |
| 0.0402 | 19.0 | 2850 | 3.4183 |
| 0.036 | 20.0 | 3000 | 3.4534 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.13.1
- Tokenizers 0.14.1