---
license: other
base_model: yahma/llama-7b-hf
tags:
- generated_from_trainer
model-index:
- name: V0224O3
  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. -->

# V0224O3

This model is a fine-tuned version of [yahma/llama-7b-hf](https://huggingface.co./yahma/llama-7b-hf) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7602

## 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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_steps: 20
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.6994        | 0.13  | 10   | 1.4517          |
| 1.1813        | 0.26  | 20   | 0.9876          |
| 0.9403        | 0.39  | 30   | 0.8957          |
| 0.8634        | 0.52  | 40   | 0.8524          |
| 0.8357        | 0.65  | 50   | 0.8314          |
| 0.8133        | 0.78  | 60   | 0.8148          |
| 0.7855        | 0.91  | 70   | 0.8004          |
| 0.7738        | 1.04  | 80   | 0.7932          |
| 0.7401        | 1.17  | 90   | 0.7865          |
| 0.7552        | 1.3   | 100  | 0.7805          |
| 0.7429        | 1.43  | 110  | 0.7777          |
| 0.7336        | 1.55  | 120  | 0.7737          |
| 0.7227        | 1.68  | 130  | 0.7701          |
| 0.7345        | 1.81  | 140  | 0.7665          |
| 0.7368        | 1.94  | 150  | 0.7653          |
| 0.7109        | 2.07  | 160  | 0.7649          |
| 0.6871        | 2.2   | 170  | 0.7629          |
| 0.6985        | 2.33  | 180  | 0.7609          |
| 0.6903        | 2.46  | 190  | 0.7611          |
| 0.6919        | 2.59  | 200  | 0.7599          |
| 0.6945        | 2.72  | 210  | 0.7599          |
| 0.6921        | 2.85  | 220  | 0.7603          |
| 0.6935        | 2.98  | 230  | 0.7602          |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1