license, tags, datasets, model-index

license	tags	datasets	model-index
mit	generated_from_trainer	sst2	name results finetuned_gpt2-xl_sst2_negation0.001_pretrainedTrue_epochs1

finetuned_gpt2-xl_sst2_negation0.001_pretrainedTrue_epochs1

This model is a fine-tuned version of gpt2-xl on the sst2 dataset. It achieves the following results on the evaluation set:

• Loss: 2.9199

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: 1

Training results

Training Loss	Epoch	Step	Validation Loss
1.8707	1.0	1322	2.9199

Framework versions

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