wav2vec2-gcf

This model is a fine-tuned version of LLL-CREAM/wav2vec2-HAT-0.2K-ALH-base on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 2.6800
• 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: 0.0001
• train_batch_size: 8
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 16
• optimizer: Use OptimizerNames.ADAMW_TORCH 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: 100
• training_steps: 2000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
5.6305	0.9390	400	2.7244	100.0
5.4888	1.8779	800	2.7181	100.0
5.5111	2.8169	1200	2.8026	100.0
5.5101	3.7559	1600	2.7278	100.0
5.3605	4.6948	2000	2.6800	100.0

Framework versions

• Transformers 5.5.0
• Pytorch 2.4.1+cu124
• Datasets 3.6.0
• Tokenizers 0.22.2