datasetsANDmodels/message-extraction

This model extracts the message from the text

message_extraction

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

• Loss: 0.0185

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: 4
• eval_batch_size: 4
• 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
0.3131	1.0	191	0.3448
0.2332	2.0	382	0.1029
0.127	3.0	573	0.0606
0.0685	4.0	764	0.0423
0.052	5.0	955	0.0338
0.0002	6.0	1146	0.0275
0.0468	7.0	1337	0.0238
0.02	8.0	1528	0.0207
0.0567	9.0	1719	0.0189
0.0044	10.0	1910	0.0185

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.1
• Datasets 2.15.0
• Tokenizers 0.15.0