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Llama-2-7b-chat-hf - bnb 8bits
- Model creator: https://huggingface.co/ArashMarandi/
- Original model: https://huggingface.co/ArashMarandi/Llama-2-7b-chat-hf/




Original model description:
---
library_name: transformers
license: mit
base_model: EleutherAI/gpt-neo-1.3B
tags:
- generated_from_trainer
model-index:
- name: Llama-2-7b-chat-hf
  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. -->

# Llama-2-7b-chat-hf

This model is a fine-tuned version of [EleutherAI/gpt-neo-1.3B](https://huggingface.co/EleutherAI/gpt-neo-1.3B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1051

## 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: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 5    | 1.3871          |
| 3.5512        | 2.0   | 10   | 0.1261          |
| 3.5512        | 3.0   | 15   | 0.1115          |
| 0.1406        | 4.0   | 20   | 0.1050          |
| 0.1406        | 5.0   | 25   | 0.1016          |
| 0.0738        | 6.0   | 30   | 0.0973          |
| 0.0738        | 7.0   | 35   | 0.0974          |
| 0.0526        | 8.0   | 40   | 0.0992          |
| 0.0526        | 9.0   | 45   | 0.1030          |
| 0.025         | 10.0  | 50   | 0.1045          |
| 0.025         | 11.0  | 55   | 0.1055          |
| 0.0224        | 12.0  | 60   | 0.1059          |
| 0.0224        | 13.0  | 65   | 0.1054          |
| 0.0134        | 14.0  | 70   | 0.1051          |
| 0.0134        | 15.0  | 75   | 0.1051          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1