metadata
license: mit
tags:
- generated_from_trainer
datasets:
- sst2
model-index:
- name: finetuned_gpt2-medium_sst2_negation0.05_pretrainedFalse
results: []
finetuned_gpt2-medium_sst2_negation0.05_pretrainedFalse
This model is a fine-tuned version of gpt2-medium on the sst2 dataset. It achieves the following results on the evaluation set:
- Loss: 5.2259
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 |
---|---|---|---|
4.8101 | 1.0 | 1062 | 5.4771 |
4.3998 | 2.0 | 2124 | 5.2893 |
4.1418 | 3.0 | 3186 | 5.2259 |
Framework versions
- Transformers 4.22.2
- Pytorch 1.12.1+cu113
- Datasets 2.5.2
- Tokenizers 0.12.1