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# HW5_Llama2_arithmetic

This model is a fine-tuned version of [baffo32/decapoda-research-llama-7B-hf](https://huggingface.co/baffo32/decapoda-research-llama-7B-hf) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0415

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 40
- training_steps: 400
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.3401        | 0.0   | 50   | 0.1444          |
| 0.1313        | 0.0   | 100  | 0.0962          |
| 0.0964        | 0.0   | 150  | 0.0794          |
| 0.0866        | 0.0   | 200  | 0.0661          |
| 0.0703        | 0.01  | 250  | 0.0581          |
| 0.0639        | 0.01  | 300  | 0.0489          |
| 0.0531        | 0.01  | 350  | 0.0443          |
| 0.0495        | 0.01  | 400  | 0.0415          |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.7
- Tokenizers 0.14.1

{"license": "other", "tags": ["generated_from_trainer"], "base_model": "baffo32/decapoda-research-llama-7B-hf", "model-index": [{"name": "HW5_Llama2_arithmetic", "results": []}]}
tensorboard safetensors generated_from_trainer base_model:baffo32/decapoda-research-llama-7B-hf license:other region:us