---
base_model: meta-llama/Llama-2-7b-hf
tags:
- generated_from_trainer
model-index:
- name: ckpts/llama2-7b-viettel_v3_2epoch
  results: []
---

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# ckpts/llama2-7b-viettel_v3_2epoch

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: 0.4619

## 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: 0.0002
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 3
- gradient_accumulation_steps: 4
- total_train_batch_size: 24
- total_eval_batch_size: 6
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 20
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5149        | 0.25  | 200  | 0.5149          |
| 0.4977        | 0.51  | 400  | 0.4941          |
| 0.4727        | 0.76  | 600  | 0.4824          |
| 0.4375        | 1.02  | 800  | 0.4730          |
| 0.4455        | 1.27  | 1000 | 0.4682          |
| 0.4539        | 1.53  | 1200 | 0.4638          |
| 0.4411        | 1.78  | 1400 | 0.4619          |


### Framework versions

- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.14.0