safetensors generated_from_trainer dataset:ssummarised/llama base_model:meta-llama/Llama-2-7b-hf base_model:finetune:meta-llama/Llama-2-7b-hf license:llama2 region:us
---
base_model: meta-llama/Llama-2-7b-hf
datasets:
- ssummarised/llama
license: llama2
tags:
- generated_from_trainer
model-index:
- name: 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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# 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 ssummarised/llama dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9292

## 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
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.8379        | 1.0   | 1992 | 1.9292          |
| 1.8651        | 2.0   | 3984 | 1.9321          |
| 1.8298        | 3.0   | 5976 | 1.9534          |
| 1.3509        | 4.0   | 7968 | 1.9702          |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.0.1+cu117
- Datasets 2.19.0
- Tokenizers 0.13.3
