---
language:
- en
base_model: meta/instruction
tags:
- hih
- generated_from_trainer
datasets:
- rajj0/AbstractAI
model-index:
- name: AbstractAI-LLaMA-7b
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# AbstractAI-LLaMA-7b

This model is a fine-tuned version of [meta/instruction](https://huggingface.co/meta/instruction) on the AbstractAI dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6270

## 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: 0.0002
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.7854        | 0.24  | 20   | 1.7964          |
| 1.6215        | 0.49  | 40   | 1.6849          |
| 1.6423        | 0.73  | 60   | 1.6501          |
| 1.5844        | 0.98  | 80   | 1.6270          |


### Framework versions

- Transformers 4.35.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.14.0