---
base_model: meta-llama/Llama-2-7b-chat-hf
tags:
- generated_from_trainer
model-index:
- name: sparse_llama_7b_refined_web_90p_2024-03-23
  results: []
---

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# sparse_llama_7b_refined_web_90p_2024-03-23

This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.9593

## 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: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 0
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- total_eval_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 200

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 5.2575        | 0.01  | 25   | 5.1578          |
| 4.636         | 0.02  | 50   | 4.5777          |
| 3.9255        | 0.02  | 75   | 3.9336          |
| 3.4456        | 0.03  | 100  | 3.5406          |
| 3.2456        | 0.04  | 125  | 3.3417          |
| 3.0263        | 0.05  | 150  | 3.2372          |
| 2.898         | 0.06  | 175  | 3.1641          |
| 2.9902        | 0.06  | 200  | 3.0936          |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.2