yes_no_model

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

• Loss: 0.0000

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: 5e-05
• train_batch_size: 20
• eval_batch_size: 20
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 50
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
6.4778	0.2857	10	5.2663
2.9544	0.5714	20	1.8252
1.267	0.8571	30	0.7955
0.7249	1.1429	40	0.3101
0.3031	1.4286	50	0.0483
0.0606	1.7143	60	0.0010
0.0049	2.0	70	0.0001
0.0014	2.2857	80	0.0001
0.0005	2.5714	90	0.0000
0.0008	2.8571	100	0.0000

Framework versions

• Transformers 4.41.2
• Pytorch 2.1.2
• Datasets 2.19.2
• Tokenizers 0.19.1