---
license: llama2
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: codellama/CodeLlama-7b-hf
model-index:
- name: zero-shot-prompting-codellama-2-7b_readsum
  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. -->

# zero-shot-prompting-codellama-2-7b_readsum

This model is a fine-tuned version of [codellama/CodeLlama-7b-hf](https://huggingface.co/codellama/CodeLlama-7b-hf) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5760

## 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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.5059        | 0.21  | 300  | 1.6446          |
| 1.3069        | 0.41  | 600  | 1.6194          |
| 1.2804        | 0.62  | 900  | 1.6057          |
| 1.415         | 0.82  | 1200 | 1.5966          |
| 1.7712        | 1.03  | 1500 | 1.5898          |
| 1.604         | 1.23  | 1800 | 1.5847          |
| 1.5464        | 1.44  | 2100 | 1.5806          |
| 1.6766        | 1.65  | 2400 | 1.5779          |
| 1.5547        | 1.85  | 2700 | 1.5760          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.37.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0