t5-small-finetune-1611

This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.2814

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
0.065	1.0	11331	0.1631
0.0616	2.0	22662	0.3200
0.0654	3.0	33993	0.2814

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu118
• Tokenizers 0.15.0