finetuned_gpt2-xl_sst2_negation0.01_pretrainedFalse_epochs10

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

• Loss: 4.2831

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss
1.7704	1.0	1323	3.1202
1.0733	2.0	2646	3.4126
0.867	3.0	3969	3.6512
0.7585	4.0	5292	3.7861
0.6945	5.0	6615	3.8881
0.6429	6.0	7938	3.9924
0.5997	7.0	9261	4.0998
0.5643	8.0	10584	4.1730
0.5279	9.0	11907	4.2446
0.4999	10.0	13230	4.2831

Framework versions

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