---
license: mit
tags:
- generated_from_trainer
datasets:
- sst2
model-index:
- name: finetuned_gpt2-medium_sst2_negation0.01_pretrainedFalse_epochs10
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# finetuned_gpt2-medium_sst2_negation0.01_pretrainedFalse_epochs10

This model is a fine-tuned version of [gpt2-medium](https://huggingface.co/gpt2-medium) on the sst2 dataset.
It achieves the following results on the evaluation set:
- Loss: 4.0937

## 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: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 2.2693        | 1.0   | 1323  | 2.9043          |
| 1.8782        | 2.0   | 2646  | 3.0877          |
| 1.6671        | 3.0   | 3969  | 3.3430          |
| 1.4607        | 4.0   | 5292  | 3.5276          |
| 1.3258        | 5.0   | 6615  | 3.7558          |
| 1.2423        | 6.0   | 7938  | 3.8430          |
| 1.1748        | 7.0   | 9261  | 3.9389          |
| 1.124         | 8.0   | 10584 | 4.0047          |
| 1.0988        | 9.0   | 11907 | 4.0659          |
| 1.0751        | 10.0  | 13230 | 4.0937          |


### Framework versions

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