metadata
license: mit
tags:
- generated_from_trainer
datasets:
- sst2
base_model: gpt2
model-index:
- name: finetuned_gpt2_sst2_negation0.05
results: []
finetuned_gpt2_sst2_negation0.05
This model is a fine-tuned version of gpt2 on the sst2 dataset. It achieves the following results on the evaluation set:
- Loss: 3.5271
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 |
|---|---|---|---|
| 3.1134 | 1.0 | 1062 | 3.5060 |
| 2.926 | 2.0 | 2124 | 3.5158 |
| 2.8331 | 3.0 | 3186 | 3.5271 |
Framework versions
- Transformers 4.22.2
- Pytorch 1.12.1+cu113
- Datasets 2.5.2
- Tokenizers 0.12.1