wav2vec2-xls-r-300m-fr-5min – AI Model by Rateddany | AlphaNeural AI

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Rateddany/
wav2vec2-xls-r-300m-fr-5min

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automatic-speech-recognition

generated_from_trainer

facebook/wav2vec2-xls-r-300m

endpoints_compatible

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wav2vec2-xls-r-300m-fr-5min

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.5016
Wer: 0.6981
Cer: 0.2705

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: 7e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.98) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
training_steps: 2000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
2.0858	57.1429	400	1.9368	0.9322	0.5048
0.9206	114.2857	800	1.3725	0.7727	0.3027
0.598	171.4286	1200	1.3869	0.7196	0.2792
0.3647	228.5714	1600	1.4650	0.7033	0.2710
0.3468	285.7143	2000	1.5016	0.6981	0.2705

Framework versions

Transformers 4.50.0
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1