mt5-small-task1-dataset3

This model is a fine-tuned version of google/mt5-small on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.8026
• Accuracy: 0.52

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: 5.6e-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

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
9.7282	1.0	250	2.3106	0.118
2.3916	2.0	500	1.7098	0.128
1.8578	3.0	750	1.5425	0.198
1.6283	4.0	1000	1.4055	0.216
1.4748	5.0	1250	1.3024	0.282
1.2899	6.0	1500	1.1393	0.388
1.1631	7.0	1750	1.0190	0.434
1.0565	8.0	2000	0.9458	0.456
0.9747	9.0	2250	0.9052	0.488
0.9119	10.0	2500	0.8731	0.514
0.8752	11.0	2750	0.8279	0.516
0.8356	12.0	3000	0.8263	0.524
0.8132	13.0	3250	0.8125	0.52
0.8113	14.0	3500	0.8037	0.52
0.8075	15.0	3750	0.8026	0.52

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu121
• Datasets 2.15.0
• Tokenizers 0.15.0