safetensors generated_from_trainer base_model:meta-llama/Llama-2-7b-hf region:us
---
base_model: meta-llama/Llama-2-7b-hf
tags:
- generated_from_trainer
model-index:
- name: fine-tune-radia-v5
  results: []
---

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# fine-tune-radia-v5

This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5763

## 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: 0.0005
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9282        | 0.09  | 5    | 0.8199          |
| 0.7119        | 0.17  | 10   | 0.7063          |
| 0.673         | 0.26  | 15   | 0.6752          |
| 0.6667        | 0.34  | 20   | 0.6584          |
| 0.6191        | 0.43  | 25   | 0.6408          |
| 0.6094        | 0.52  | 30   | 0.6226          |
| 0.5648        | 0.6   | 35   | 0.6080          |
| 0.5579        | 0.69  | 40   | 0.5964          |
| 0.5439        | 0.78  | 45   | 0.5867          |
| 0.5478        | 0.86  | 50   | 0.5763          |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.14.7
- Tokenizers 0.15.0
