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jonatasgrosman-wav2vec2-xlsr-1b-km-indomain5-withoutac – AI Model by Shagufta | AlphaNeural AI
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Shagufta
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jonatasgrosman-wav2vec2-xlsr-1b-km-indomain5-withoutac
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transformers
safetensors
wav2vec2
automatic-speech-recognition
generated_from_trainer
jonatasgrosman/wav2vec2-xls-r-1b-french
finetune
apache-2.0
endpoints_compatible
us
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jonatasgrosman-wav2vec2-xlsr-1b-km-indomain5-withoutac
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: 0.3707
Wer: 0.2098
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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 8
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: cosine
lr_scheduler_warmup_steps: 100
num_epochs: 20
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
15.3413
4.7853
100
0.6782
0.6152
2.0092
9.5399
200
0.3451
0.2576
1.0004
14.2945
300
0.3789
0.2249
0.6621
19.0491
400
0.3712
0.2107
0.6621
20.0
420
0.3707
0.2098
Framework versions
Transformers 5.7.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
