---
license: llama2
base_model: meta-llama/Llama-2-7b-hf
tags:
- generated_from_trainer
model-index:
- name: sparse_llama_7b_hf2_refined_web_50p_2024-05-11
  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. -->

# sparse_llama_7b_hf2_refined_web_50p_2024-05-11

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: 2.2840

## 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: 4
- seed: 0
- distributed_type: multi-GPU
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 350

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.201         | 0.0   | 25   | 2.2172          |
| 2.2379        | 0.0   | 50   | 2.2154          |
| 2.1411        | 0.01  | 75   | 2.2137          |
| 2.1523        | 0.01  | 100  | 2.2125          |
| 2.5823        | 0.01  | 125  | 2.2103          |
| 2.2672        | 0.01  | 150  | 2.2063          |
| 2.3044        | 0.01  | 175  | 2.2036          |
| 2.2119        | 0.02  | 200  | 2.2012          |
| 2.1888        | 0.02  | 225  | 2.2004          |
| 2.1592        | 0.02  | 250  | 2.1981          |
| 2.2455        | 0.02  | 275  | 2.1972          |
| 2.0666        | 0.02  | 300  | 2.1972          |
| 2.322         | 0.03  | 325  | 2.1967          |
| 2.2689        | 0.03  | 350  | 2.1946          |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.19.1
- Tokenizers 0.15.2