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license: other
base_model: yahma/llama-7b-hf
tags:
- generated_from_trainer
model-index:
- name: V0224P8
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. -->
# V0224P8
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: 0.7483
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.0988 | 0.13 | 10 | 1.0588 |
| 0.9892 | 0.26 | 20 | 0.9511 |
| 0.9008 | 0.39 | 30 | 0.8673 |
| 0.8366 | 0.52 | 40 | 0.8299 |
| 0.8139 | 0.65 | 50 | 0.8099 |
| 0.7954 | 0.78 | 60 | 0.7970 |
| 0.7704 | 0.91 | 70 | 0.7862 |
| 0.7614 | 1.04 | 80 | 0.7788 |
| 0.7322 | 1.17 | 90 | 0.7733 |
| 0.7482 | 1.3 | 100 | 0.7694 |
| 0.7366 | 1.43 | 110 | 0.7645 |
| 0.7261 | 1.55 | 120 | 0.7605 |
| 0.7171 | 1.68 | 130 | 0.7578 |
| 0.7274 | 1.81 | 140 | 0.7552 |
| 0.7313 | 1.94 | 150 | 0.7514 |
| 0.7069 | 2.07 | 160 | 0.7516 |
| 0.6858 | 2.2 | 170 | 0.7503 |
| 0.6988 | 2.33 | 180 | 0.7498 |
| 0.6903 | 2.46 | 190 | 0.7490 |
| 0.6926 | 2.59 | 200 | 0.7490 |
| 0.6952 | 2.72 | 210 | 0.7485 |
| 0.6925 | 2.85 | 220 | 0.7484 |
| 0.6938 | 2.98 | 230 | 0.7483 |
### Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1
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