End of training
Browse files- README.md +80 -0
- model.safetensors +1 -1
README.md
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---
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license: apache-2.0
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base_model: jonatasgrosman/wav2vec2-large-xlsr-53-french
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tags:
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- generated_from_trainer
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datasets:
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- minds14
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metrics:
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- wer
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model-index:
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- name: French_asr_model
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results:
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- task:
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name: Automatic Speech Recognition
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type: automatic-speech-recognition
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dataset:
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name: minds14
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type: minds14
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config: fr-FR
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split: None
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args: fr-FR
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metrics:
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- name: Wer
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type: wer
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value: 0.3484848484848485
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# French_asr_model
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This model is a fine-tuned version of [jonatasgrosman/wav2vec2-large-xlsr-53-french](https://huggingface.co/jonatasgrosman/wav2vec2-large-xlsr-53-french) on the minds14 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.2408
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- Wer: 0.3485
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 16
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 250
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- training_steps: 1000
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:--------:|:----:|:---------------:|:------:|
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| 0.0049 | 333.3333 | 500 | 1.1485 | 0.3485 |
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| 0.0015 | 666.6667 | 1000 | 1.2408 | 0.3485 |
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### Framework versions
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- Transformers 4.40.0
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- Pytorch 2.2.1+cu121
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
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size 1262049380
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version https://git-lfs.github.com/spec/v1
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size 1262049380
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