metadata
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: NousResearch/Llama-2-7b-hf
model-index:
- name: results
results: []
results
This model is a fine-tuned version of NousResearch/Llama-2-7b-hf on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9343
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.7949 | 0.1 | 25 | 1.7390 |
| 1.7268 | 0.21 | 50 | 1.6898 |
| 1.7214 | 0.31 | 75 | 1.6547 |
| 1.6573 | 0.41 | 100 | 1.6260 |
| 1.6663 | 0.52 | 125 | 1.5999 |
| 1.6499 | 0.62 | 150 | 1.5735 |
| 1.61 | 0.72 | 175 | 1.5483 |
| 1.6491 | 0.82 | 200 | 1.5288 |
| 1.6441 | 0.93 | 225 | 1.5034 |
| 1.5055 | 1.03 | 250 | 1.4753 |
| 1.4955 | 1.13 | 275 | 1.4409 |
| 1.4345 | 1.24 | 300 | 1.4159 |
| 1.449 | 1.34 | 325 | 1.3918 |
| 1.4762 | 1.44 | 350 | 1.3701 |
| 1.4562 | 1.55 | 375 | 1.3449 |
| 1.4092 | 1.65 | 400 | 1.3205 |
| 1.4173 | 1.75 | 425 | 1.3000 |
| 1.4225 | 1.86 | 450 | 1.2798 |
| 1.4358 | 1.96 | 475 | 1.2600 |
| 1.2387 | 2.06 | 500 | 1.2198 |
| 1.232 | 2.16 | 525 | 1.1936 |
| 1.2212 | 2.27 | 550 | 1.1720 |
| 1.2066 | 2.37 | 575 | 1.1491 |
| 1.199 | 2.47 | 600 | 1.1301 |
| 1.2365 | 2.58 | 625 | 1.1124 |
| 1.2124 | 2.68 | 650 | 1.0934 |
| 1.2113 | 2.78 | 675 | 1.0766 |
| 1.1947 | 2.89 | 700 | 1.0620 |
| 1.2041 | 2.99 | 725 | 1.0441 |
| 1.0437 | 3.09 | 750 | 1.0133 |
| 1.0239 | 3.2 | 775 | 0.9972 |
| 1.0417 | 3.3 | 800 | 0.9839 |
| 0.9909 | 3.4 | 825 | 0.9712 |
| 1.0275 | 3.51 | 850 | 0.9600 |
| 1.0466 | 3.61 | 875 | 0.9516 |
| 1.0036 | 3.71 | 900 | 0.9423 |
| 1.0039 | 3.81 | 925 | 0.9363 |
| 0.9786 | 3.92 | 950 | 0.9343 |
Framework versions
- PEFT 0.8.2
- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1