wav2vec-finetuned

This model is a fine-tuned version of facebook/w2v-bert-2.0 on madoss/faso-speech.

It achieves the following results on the evaluation set:

• Loss: 0.6286
• Wer: 0.2902

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: 2e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 16
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• 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	Wer
2.9524	0.9788	300	1.1082	0.7286
1.8613	1.9560	600	0.7658	0.4447
1.3791	2.9331	900	0.6838	0.3803
1.0644	3.9103	1200	0.6384	0.3221
0.8971	4.8874	1500	0.6323	0.2908
0.8971	5.0	1535	0.6286	0.2902

Framework versions

• Transformers 5.9.0
• Pytorch 2.10.0+cu128
• Datasets 4.8.5
• Tokenizers 0.22.2