wav2vec2-base-timit-phoneme

This model is a fine-tuned version of facebook/wav2vec2-base on the timit_asr dataset. It achieves the following results on the evaluation set:

• Loss: 6.2366
• Per: 0.9535

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: 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: 1000
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Per
No log	1.0	13	6.8820	0.9999
No log	2.0	26	6.6526	0.9978
No log	3.0	39	6.2366	0.9535

Framework versions

• Transformers 4.56.2
• Pytorch 2.8.0+cu126
• Datasets 2.21.0
• Tokenizers 0.22.1