---
library_name: transformers
license: mit
base_model: gpt2
tags:
- generated_from_trainer
datasets:
- scitldr
model-index:
- name: output_dir
  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. -->

# output_dir

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the scitldr dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3648

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 125  | 3.4195          |
| No log        | 2.0   | 250  | 3.3752          |
| No log        | 3.0   | 375  | 3.3648          |


### Framework versions

- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0