tensorboard safetensors generated_from_trainer dataset:scitldr base_model:meta-llama/Llama-2-7b-chat-hf region:us
---
base_model: meta-llama/Llama-2-7b-chat-hf
tags:
- generated_from_trainer
datasets:
- scitldr
model-index:
- name: uplimit-project-3-llam2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# uplimit-project-3-llam2

This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) on the scitldr dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1887

## 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: 0.001
- 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: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.2124        | 0.1   | 200  | 2.2725          |
| 2.1841        | 0.2   | 400  | 2.2590          |
| 2.1618        | 0.3   | 600  | 2.2784          |
| 2.1873        | 0.4   | 800  | 2.2520          |
| 2.1791        | 0.5   | 1000 | 2.2408          |
| 2.1653        | 0.6   | 1200 | 2.2275          |
| 2.1298        | 0.7   | 1400 | 2.2103          |
| 2.1454        | 0.8   | 1600 | 2.1990          |
| 2.1389        | 0.9   | 1800 | 2.1887          |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
