xlsr-model-1 – AI Model by kpushpender | AlphaNeural AI

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kpushpender/
xlsr-model-1

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automatic-speech-recognition

generated_from_trainer

facebook/wav2vec2-large-xlsr-53

endpoints_compatible

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xlsr-model-1

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.8364
Wer: 1.0

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: 0.0004
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 4
optimizer: Use 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: 45
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
No log	1.0	113	1.1117	1.0
93.3398	2.0	226	0.8533	1.0
93.3398	3.0	339	0.8746	1.0
0.8879	4.0	452	0.8180	1.0
0.8879	5.0	565	0.8439	1.0
0.7771	6.0	678	0.8274	1.0
0.7771	7.0	791	0.8668	1.0
0.7594	8.0	904	0.8162	1.0
0.7586	9.0	1017	0.8365	1.0
0.7586	10.0	1130	0.8364	1.0

Framework versions

Transformers 4.52.0.dev0
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0