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license: other
base_model: yahma/llama-7b-hf
tags:
- generated_from_trainer
model-index:
- name: V0305P6
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. -->
# V0305P6
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: 0.0736
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.7001 | 0.09 | 10 | 0.5244 |
| 0.2134 | 0.17 | 20 | 0.1572 |
| 0.1574 | 0.26 | 30 | 0.1549 |
| 0.1522 | 0.34 | 40 | 0.1488 |
| 0.1501 | 0.43 | 50 | 0.1488 |
| 0.1553 | 0.51 | 60 | 0.1484 |
| 0.1482 | 0.6 | 70 | 0.1376 |
| 0.144 | 0.68 | 80 | 0.1298 |
| 0.131 | 0.77 | 90 | 0.1147 |
| 0.1268 | 0.85 | 100 | 0.1112 |
| 0.1196 | 0.94 | 110 | 0.0988 |
| 0.115 | 1.02 | 120 | 0.1008 |
| 0.1083 | 1.11 | 130 | 0.0982 |
| 0.102 | 1.19 | 140 | 0.0943 |
| 0.0984 | 1.28 | 150 | 0.0875 |
| 0.0964 | 1.37 | 160 | 0.0853 |
| 0.0953 | 1.45 | 170 | 0.0855 |
| 0.0888 | 1.54 | 180 | 0.0825 |
| 0.089 | 1.62 | 190 | 0.0839 |
| 0.0955 | 1.71 | 200 | 0.0811 |
| 0.094 | 1.79 | 210 | 0.0784 |
| 0.0901 | 1.88 | 220 | 0.0729 |
| 0.0856 | 1.96 | 230 | 0.0771 |
| 0.0717 | 2.05 | 240 | 0.0744 |
| 0.0648 | 2.13 | 250 | 0.0730 |
| 0.061 | 2.22 | 260 | 0.0720 |
| 0.0589 | 2.3 | 270 | 0.0759 |
| 0.0664 | 2.39 | 280 | 0.0702 |
| 0.0676 | 2.47 | 290 | 0.0693 |
| 0.0636 | 2.56 | 300 | 0.0699 |
| 0.0667 | 2.65 | 310 | 0.0711 |
| 0.0585 | 2.73 | 320 | 0.0726 |
| 0.0619 | 2.82 | 330 | 0.0732 |
| 0.0613 | 2.9 | 340 | 0.0735 |
| 0.0611 | 2.99 | 350 | 0.0736 |
### Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1
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