only_head_const_lr_1-e4

This model is a fine-tuned version of facebook/w2v-bert-2.0 on the common_voice_17_0 dataset. It achieves the following results on the evaluation set:

• Loss: 2.7371
• Wer: 1.0000
• Cer: 0.8540

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
• gradient_accumulation_steps: 2
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant
• num_epochs: 10
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
9.1084	1.5385	500	9.3283	1.5175	0.7359
4.8706	3.0769	1000	5.0357	1.0044	0.8964
3.8282	4.6154	1500	3.8866	0.9999	0.9809
3.1519	6.1538	2000	3.1656	0.9998	0.9309
2.8747	7.6923	2500	2.8780	1.0002	0.8692
2.7465	9.2308	3000	2.7371	1.0000	0.8540

Framework versions

• Transformers 4.41.2
• Pytorch 2.3.0+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1