wav2vec2-base-ne-en-finetuned

This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.9153
• Wer: 100.0

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: 3e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 4
• 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: 30
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
1.5453	4.9889	1905	1.3277	100.0
0.9666	9.9757	3810	0.9827	100.0
0.7854	14.9626	5715	0.9204	100.0
0.6823	19.9495	7620	0.9000	100.0
0.6305	24.9364	9525	0.8861	100.0
0.5986	29.9233	11430	0.8831	100.0

Framework versions

• Transformers 4.57.3
• Pytorch 2.9.1+cu128
• Datasets 2.21.0
• Tokenizers 0.22.1