---
base_model: meta-llama/Llama-2-7b-chat-hf
datasets:
- generator
library_name: peft
license: llama2
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: llama27bchat_summarize
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# llama27bchat_summarize

This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7720

## 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: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 5
- training_steps: 50

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.5269        | 0.0980 | 25   | 1.7536          |
| 1.4924        | 0.1961 | 50   | 1.7720          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.43.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1