---
base_model: meta-llama/Llama-2-7b-hf
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: zero-shot-prompting-llama-2-7b_readsum_Ver2
  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-llama-2-7b_readsum_Ver2

This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6961

## 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
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.6231        | 0.21  | 300  | 1.7653          |
| 1.4252        | 0.41  | 600  | 1.7429          |
| 1.3652        | 0.62  | 900  | 1.7273          |
| 1.4877        | 0.82  | 1200 | 1.7188          |
| 1.8531        | 1.03  | 1500 | 1.7113          |
| 1.6964        | 1.23  | 1800 | 1.7061          |
| 1.6873        | 1.44  | 2100 | 1.7011          |
| 1.7671        | 1.65  | 2400 | 1.6985          |
| 1.7008        | 1.85  | 2700 | 1.6961          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0