mt5_epoch_1To6

This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: nan
• Accuracy: 0.0
• Precision: 0.0
• Recall: 0.0
• F1: 0.0
• Wer: 1.0
• Cer: 1.0
• Chrf: 0.0
• Exact Match: 0.0
• Bertscore:precision: 0.0
• Bertscore:recall: 0.0
• Bertscore:f1: 0.0
• Ter: 100.0
• Blerurt: -1.3889

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: 5e-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
• lr_scheduler_warmup_steps: 500
• num_epochs: 5
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1	Wer	Cer	Chrf	Exact Match	Bertscore:precision	Bertscore:recall	Bertscore:f1	Ter	Blerurt
0.0	1.57	1000	nan	0.0	0.0	0.0	0.0	1.0	1.0	0.0	0.0	0.0	0.0	0.0	100.0	-1.3889
0.0	3.14	2000	nan	0.0	0.0	0.0	0.0	1.0	1.0	0.0	0.0	0.0	0.0	0.0	100.0	-1.3889
0.0	4.72	3000	nan	0.0	0.0	0.0	0.0	1.0	1.0	0.0	0.0	0.0	0.0	0.0	100.0	-1.3889

Framework versions

• Transformers 4.37.2
• Pytorch 2.1.0+cu121
• Datasets 2.17.0
• Tokenizers 0.15.2