CV_bn_trained_on_Validation

This model is a fine-tuned version of ./content/CV_bn_trained_on_Validation/checkpoint-6000 on the common_voice dataset. It achieves the following results on the evaluation set:

• Loss: 0.2181
• Wer: 0.3385

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: 7.5e-05
• train_batch_size: 8
• 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: 2000
• num_epochs: 4
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
1.1104	1.25	2000	0.2535	0.3705
1.1069	2.49	4000	0.2369	0.3545
1.0344	3.74	6000	0.2181	0.3385

Framework versions

• Transformers 4.18.0
• Pytorch 1.11.0
• Datasets 2.1.0
• Tokenizers 0.12.1