Tahmid37/moye_moye

mt0-small-bn-to-ipa-v2

This model is a fine-tuned version of bigscience/mt0-small on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0551
• Wer: 0.0327

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: 0.001
• train_batch_size: 16
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 2000
• num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.079	3.64	4000	0.0600	0.0495
0.0602	7.27	8000	0.0563	0.0434
0.042	10.91	12000	0.0539	0.0378
0.0292	14.55	16000	0.0542	0.0346
0.0212	18.18	20000	0.0551	0.0327

Framework versions

• Transformers 4.34.1
• Pytorch 2.0.0
• Datasets 2.1.0
• Tokenizers 0.14.1