w2v2-dbart-5k-1e-4

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.3370
• Wer: 15.0932

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: 0.0001
• train_batch_size: 16
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 250
• training_steps: 5000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
2.0771	0.2	1000	1.8878	64.0932
0.7272	0.4	2000	0.7003	23.8557
0.5948	0.6	3000	0.4765	14.4223
0.4597	0.8	4000	0.3761	14.1429
0.3704	1.0	5000	0.3370	15.0932

Framework versions

• Transformers 4.25.0.dev0
• Pytorch 1.11.0
• Datasets 2.6.1
• Tokenizers 0.13.2