---
license: other
base_model: huggyllama/llama-7b
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
- trl
- sft
- generated_from_trainer
datasets:
- GAIR/lima
model-index:
- name: llama-lima
  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-lima

This model is a fine-tuned version of [huggyllama/llama-7b](https://huggingface.co/huggyllama/llama-7b) on the GAIR/lima dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9975

## 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: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 16
- total_train_batch_size: 128
- total_eval_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.8892        | 1.0   | 6    | 1.7981          |
| 1.7346        | 2.0   | 12   | 1.7421          |
| 1.5782        | 3.0   | 18   | 1.6837          |
| 1.3988        | 4.0   | 24   | 1.7017          |
| 1.0825        | 5.0   | 30   | 1.7303          |
| 0.9252        | 6.0   | 36   | 1.8102          |
| 0.794         | 7.0   | 42   | 1.9195          |
| 0.7094        | 8.0   | 48   | 1.9669          |
| 0.6205        | 9.0   | 54   | 1.9970          |
| 0.5749        | 10.0  | 60   | 1.9975          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.2
- Datasets 2.14.6
- Tokenizers 0.15.2