---
base_model: meta-llama/Llama-2-7b-hf
tags:
- generated_from_trainer
datasets:
- samsum
model-index:
- name: finetuned-test
  results: []
---

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

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 samsum dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8801

## 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: 0.0005
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.9324        | 0.01  | 10   | 1.8002          |
| 1.7211        | 0.02  | 20   | 1.7225          |
| 1.6751        | 0.03  | 30   | 1.7174          |
| 1.5841        | 0.04  | 40   | 1.7560          |
| 1.4824        | 0.05  | 50   | 1.8801          |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1