---
license: mit
tags:
- generated_from_trainer
datasets:
- sst2
model-index:
- name: finetuned_gpt2-xl_sst2_negation0.001_pretrainedTrue_epochs3
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# finetuned_gpt2-xl_sst2_negation0.001_pretrainedTrue_epochs3

This model is a fine-tuned version of [gpt2-xl](https://huggingface.co/gpt2-xl) on the sst2 dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4780

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.7931        | 1.0   | 1322 | 3.1094          |
| 1.1257        | 2.0   | 2644 | 3.3526          |
| 0.9337        | 3.0   | 3966 | 3.4780          |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.7.0
- Datasets 2.8.0
- Tokenizers 0.13.2