---
tags:
- generated_from_trainer
model-index:
- name: Llama-2-7b-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-hf

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5368

## 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: 0.0001
- train_batch_size: 30
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 30
- total_train_batch_size: 900
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.1061        | 0.21  | 11   | 1.1579          |
| 0.6232        | 0.42  | 22   | 0.6404          |
| 0.5858        | 0.62  | 33   | 0.5748          |
| 0.57          | 0.83  | 44   | 0.5426          |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.1.0+cu121
- Datasets 2.14.4
- Tokenizers 0.13.3