email_parser_mistral_t5_small

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

• Loss: 0.0981
• Rouge1: 0.8634
• Rouge2: 0.8253
• Rougel: 0.8644
• Rougelsum: 0.8629
• Gen Len: 14.4146

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: 10
• eval_batch_size: 10
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	74	0.1405	0.8485	0.8115	0.8499	0.8496	15.0732
No log	2.0	148	0.1229	0.8641	0.8307	0.8668	0.8661	14.4878
No log	3.0	222	0.1086	0.8712	0.8353	0.8725	0.8709	14.2439
No log	4.0	296	0.1001	0.8712	0.8353	0.8725	0.8709	14.2439
No log	5.0	370	0.0981	0.8634	0.8253	0.8644	0.8629	14.4146

Framework versions

• Transformers 4.36.0
• Pytorch 2.0.0
• Datasets 2.1.0
• Tokenizers 0.15.0