t5-small-finetuned-en-to-it

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

• Loss: 2.0188

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: 15
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
2.5524	1.0	750	2.2315
2.4839	2.0	1500	2.1932
2.4654	3.0	2250	2.1637
2.4001	4.0	3000	2.1352
2.3966	5.0	3750	2.1122
2.3537	6.0	4500	2.0921
2.3427	7.0	5250	2.0746
2.316	8.0	6000	2.0614
2.301	9.0	6750	2.0488
2.2813	10.0	7500	2.0403
2.2691	11.0	8250	2.0325
2.2561	12.0	9000	2.0265
2.258	13.0	9750	2.0217
2.2447	14.0	10500	2.0199
2.2432	15.0	11250	2.0188

Framework versions

• Transformers 4.22.1
• Pytorch 1.12.1+cu113
• Datasets 2.5.1
• Tokenizers 0.12.1