---
license: mit
tags:
- generated_from_trainer
datasets:
- sst2
model-index:
- name: finetuned_gpt2-large_sst2_negation0.1_pretrainedFalse_epochs10
  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. -->

# finetuned_gpt2-large_sst2_negation0.1_pretrainedFalse_epochs10

This model is a fine-tuned version of [gpt2-large](https://huggingface.co/gpt2-large) on the sst2 dataset.
It achieves the following results on the evaluation set:
- Loss: 4.0544

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.9792        | 1.0   | 1329  | 3.0083          |
| 1.3396        | 2.0   | 2658  | 3.3183          |
| 1.0851        | 3.0   | 3987  | 3.5044          |
| 0.9187        | 4.0   | 5316  | 3.6375          |
| 0.828         | 5.0   | 6645  | 3.7741          |
| 0.7698        | 6.0   | 7974  | 3.8374          |
| 0.73          | 7.0   | 9303  | 3.9100          |
| 0.7027        | 8.0   | 10632 | 3.9658          |
| 0.6776        | 9.0   | 11961 | 4.0164          |
| 0.6614        | 10.0  | 13290 | 4.0544          |


### Framework versions

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