fine_vald – AI Model by AAK1423 | AlphaNeural AI

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AAK1423/
fine_vald

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automatic-speech-recognition

generated_from_trainer

facebook/wav2vec2-xls-r-300m

endpoints_compatible

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fine_vald

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0257
Wer: 0.0276

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: 0.0003
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
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: 500
num_epochs: 30
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
7.4621	3.8878	400	1.2325	1.0
0.18	7.7707	800	0.0867	0.0869
0.0342	11.6537	1200	0.0490	0.0816
0.0151	15.5366	1600	0.0344	0.0419
0.0088	19.4195	2000	0.0290	0.0723
0.0055	23.3024	2400	0.0282	0.0476
0.003	27.1854	2800	0.0257	0.0276

Framework versions

Transformers 4.51.1
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1