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---
license: mit
tags:
- generated_from_trainer
datasets:
- sst2
base_model: gpt2-xl
model-index:
- name: finetuned_gpt2-xl_sst2_negation0.05_pretrainedFalse
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-xl_sst2_negation0.05_pretrainedFalse
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: 5.2174
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 4.7953 | 1.0 | 1062 | 5.4751 |
| 4.4031 | 2.0 | 2124 | 5.2780 |
| 4.1599 | 3.0 | 3186 | 5.2174 |
### Framework versions
- Transformers 4.22.2
- Pytorch 1.12.1+cu113
- Datasets 2.5.2
- Tokenizers 0.12.1
|