---
license: llama2
base_model: meta-llama/Llama-2-7b-hf
tags:
- generated_from_trainer
datasets:
- knkarthick/dialogsum
model-index:
- name: fine_tuning_llama_4
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# fine_tuning_llama_4

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 knkarthick/dialogsum dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1296

## 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: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9863        | 1.0   | 78   | 1.1460          |
| 1.0109        | 2.0   | 156  | 1.1343          |
| 0.9011        | 3.0   | 234  | 1.1301          |
| 0.9703        | 4.0   | 312  | 1.1296          |


### Framework versions

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