reinforce-dd

This model is a fine-tuned version of t5-base on the None 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: 0.0005
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 1000
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
0.5375	1.35	500	0.0017
0.0001	2.7	1000	0.0000
0.0	4.05	1500	0.0000

Framework versions

• Transformers 4.22.1
• Pytorch 1.12.0
• Datasets 2.5.1
• Tokenizers 0.12.1