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---
license: other
base_model: yahma/llama-7b-hf
tags:
- generated_from_trainer
model-index:
- name: V0305P1
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. -->
# V0305P1
This model is a fine-tuned version of [yahma/llama-7b-hf](https://huggingface.co./yahma/llama-7b-hf) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0697
## 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: 0.0003
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_steps: 20
- num_epochs: 3
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.0736 | 0.09 | 10 | 0.1558 |
| 0.1607 | 0.17 | 20 | 0.1576 |
| 0.1576 | 0.26 | 30 | 0.1518 |
| 0.1522 | 0.34 | 40 | 0.1504 |
| 0.1506 | 0.43 | 50 | 0.1494 |
| 0.1561 | 0.51 | 60 | 0.1507 |
| 0.1516 | 0.6 | 70 | 0.1495 |
| 0.1528 | 0.68 | 80 | 0.1480 |
| 0.1481 | 0.77 | 90 | 0.1435 |
| 0.1513 | 0.85 | 100 | 0.1445 |
| 0.1463 | 0.94 | 110 | 0.1142 |
| 0.1277 | 1.02 | 120 | 0.1126 |
| 0.119 | 1.11 | 130 | 0.1112 |
| 0.1092 | 1.19 | 140 | 0.0969 |
| 0.1113 | 1.28 | 150 | 0.0965 |
| 0.1033 | 1.37 | 160 | 0.0991 |
| 0.1025 | 1.45 | 170 | 0.0881 |
| 0.0922 | 1.54 | 180 | 0.0878 |
| 0.0931 | 1.62 | 190 | 0.0811 |
| 0.0909 | 1.71 | 200 | 0.0786 |
| 0.087 | 1.79 | 210 | 0.0755 |
| 0.0868 | 1.88 | 220 | 0.0745 |
| 0.0825 | 1.96 | 230 | 0.0832 |
| 0.0636 | 2.05 | 240 | 0.0820 |
| 0.0504 | 2.13 | 250 | 0.0864 |
| 0.0463 | 2.22 | 260 | 0.0876 |
| 0.0449 | 2.3 | 270 | 0.0847 |
| 0.0529 | 2.39 | 280 | 0.0711 |
| 0.0489 | 2.47 | 290 | 0.0693 |
| 0.05 | 2.56 | 300 | 0.0699 |
| 0.0519 | 2.65 | 310 | 0.0686 |
| 0.0411 | 2.73 | 320 | 0.0688 |
| 0.0473 | 2.82 | 330 | 0.0695 |
| 0.0471 | 2.9 | 340 | 0.0697 |
| 0.0452 | 2.99 | 350 | 0.0697 |
### Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1
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