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