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xls_1b_decoding_fr_decoding_test_iter – AI Model by Dandan0K | AlphaNeural AI | AlphaNeural AI

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Dandan0K/
xls_1b_decoding_fr_decoding_test_iter

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automatic-speech-recognition

generated_from_trainer

jonatasgrosman/wav2vec2-xls-r-1b-french

endpoints_compatible

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xls_1b_decoding_fr_decoding_test_iter

This model is a fine-tuned version of jonatasgrosman/wav2vec2-xls-r-1b-french on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.7122
Wer: 0.4249

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: 1e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 40
num_epochs: 30
mixed_precision_training: Native AMP

Framework versions

Transformers 4.43.0.dev0
Pytorch 2.3.1+cu118
Datasets 2.20.0
Tokenizers 0.19.1