asr_model_french
This model is a fine-tuned version of jonatasgrosman/wav2vec2-large-xlsr-53-french on the minds14 dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.9463
- eval_wer: 0.9535
- eval_runtime: 0.8229
- eval_samples_per_second: 7.292
- eval_steps_per_second: 1.215
- epoch: 333.3333
- step: 500
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 250
- training_steps: 1000
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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Base model
jonatasgrosman/wav2vec2-large-xlsr-53-french