---
base_model: meta-llama/Llama-2-7b-hf
tags:
- generated_from_trainer
datasets:
- Salesforce/dialogstudio
model-index:
- name: tweet-summarization-llama-2-finetuned
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# tweet-summarization-llama-2-finetuned

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 Salesforce/dialogstudio dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9067

## 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: 4
- eval_batch_size: 8
- 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: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.0502        | 0.4   | 22   | 2.0521          |
| 1.9097        | 0.8   | 44   | 1.9663          |
| 1.8115        | 1.2   | 66   | 1.9141          |
| 1.8853        | 1.6   | 88   | 1.9079          |
| 1.7765        | 2.0   | 110  | 1.9067          |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3