---
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: gizemgg/Llama-2-7b-chat-hf-finetuned-wiki-eng-summary-trial-gen5
model-index:
- name: results
  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. -->

# results

This model is a fine-tuned version of [gizemgg/Llama-2-7b-chat-hf-finetuned-wiki-eng-summary-trial-gen5](https://huggingface.co/gizemgg/Llama-2-7b-chat-hf-finetuned-wiki-eng-summary-trial-gen5) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8774

## 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: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.0487        | 0.93  | 6    | 0.9595          |
| 1.0306        | 1.86  | 12   | 0.9414          |
| 0.8627        | 2.95  | 19   | 0.9183          |
| 0.9787        | 3.88  | 25   | 0.8934          |
| 0.7588        | 4.66  | 30   | 0.8774          |


### Framework versions

- PEFT 0.8.2
- Transformers 4.39.3
- Pytorch 2.1.2+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2