---
license: other
base_model: meta-llama/Llama-2-7b-hf
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: hyporadise
  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-Hyporadise-pre-trained

Contributors: Yen-Ting Lin, Huck Yang

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 hyporadise dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3419

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 20
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.3436        | 0.21  | 100  | 0.3495          |
| 0.3306        | 0.42  | 200  | 0.3352          |
| 0.3417        | 0.63  | 300  | 0.3245          |
| 0.3154        | 0.84  | 400  | 0.3160          |
| 0.1577        | 1.05  | 500  | 0.3239          |
| 0.159         | 1.26  | 600  | 0.3230          |
| 0.1493        | 1.48  | 700  | 0.3176          |
| 0.1498        | 1.69  | 800  | 0.3158          |
| 0.147         | 1.9   | 900  | 0.3104          |
| 0.0583        | 2.11  | 1000 | 0.3452          |
| 0.0547        | 2.32  | 1100 | 0.3395          |
| 0.0589        | 2.53  | 1200 | 0.3417          |
| 0.0593        | 2.74  | 1300 | 0.3414          |
| 0.0624        | 2.95  | 1400 | 0.3420          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2