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---
license: other
base_model: yahma/llama-7b-hf
tags:
- generated_from_trainer
model-index:
- name: V0305B1
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. -->
# V0305B1
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: 0.0747
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.1466 | 0.09 | 10 | 1.4267 |
| 0.6179 | 0.17 | 20 | 0.1910 |
| 0.1703 | 0.26 | 30 | 0.1573 |
| 0.1533 | 0.34 | 40 | 0.1496 |
| 0.1508 | 0.43 | 50 | 0.1499 |
| 0.1562 | 0.51 | 60 | 0.1490 |
| 0.1515 | 0.6 | 70 | 0.1506 |
| 0.1531 | 0.68 | 80 | 0.1493 |
| 0.1481 | 0.77 | 90 | 0.1490 |
| 0.1502 | 0.85 | 100 | 0.1408 |
| 0.1455 | 0.94 | 110 | 0.1351 |
| 0.1343 | 1.02 | 120 | 0.1112 |
| 0.129 | 1.11 | 130 | 0.1147 |
| 0.1165 | 1.19 | 140 | 0.1065 |
| 0.1152 | 1.28 | 150 | 0.0977 |
| 0.1095 | 1.37 | 160 | 0.0959 |
| 0.11 | 1.45 | 170 | 0.0942 |
| 0.1006 | 1.54 | 180 | 0.0933 |
| 0.1017 | 1.62 | 190 | 0.0892 |
| 0.1023 | 1.71 | 200 | 0.0885 |
| 0.1009 | 1.79 | 210 | 0.0840 |
| 0.0979 | 1.88 | 220 | 0.0806 |
| 0.0932 | 1.96 | 230 | 0.0830 |
| 0.0877 | 2.05 | 240 | 0.0818 |
| 0.0839 | 2.13 | 250 | 0.0821 |
| 0.0815 | 2.22 | 260 | 0.0783 |
| 0.0783 | 2.3 | 270 | 0.0803 |
| 0.0846 | 2.39 | 280 | 0.0773 |
| 0.0862 | 2.47 | 290 | 0.0753 |
| 0.0856 | 2.56 | 300 | 0.0752 |
| 0.0893 | 2.65 | 310 | 0.0755 |
| 0.0821 | 2.73 | 320 | 0.0750 |
| 0.0821 | 2.82 | 330 | 0.0747 |
| 0.0791 | 2.9 | 340 | 0.0747 |
| 0.0796 | 2.99 | 350 | 0.0747 |
### Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1
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