pre_response

This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.1160

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: 16
• eval_batch_size: 16
• 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
0.2894	1.0	1294	0.1637
0.1826	2.0	2588	0.1253
0.1676	3.0	3882	0.1160

Framework versions

• Transformers 4.39.3
• Pytorch 2.4.0+cu118
• Datasets 2.17.0
• Tokenizers 0.15.2