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---
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license: apache-2.0
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base_model: facebook/wav2vec2-large-xlsr-53
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tags:
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- generated_from_trainer
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metrics:
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- wer
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model-index:
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- name: mascir_fr_wav2vec_test
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results: []
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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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# mascir_fr_wav2vec_test
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This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0136
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- Wer: 0.1612
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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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- 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: 1000
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- num_epochs: 100
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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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| No log | 8.06 | 250 | 3.7503 | 0.9919 |
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| 8.0637 | 16.13 | 500 | 3.0132 | 0.9919 |
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| 8.0637 | 24.19 | 750 | 2.9734 | 0.9919 |
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| 2.9339 | 32.26 | 1000 | 2.0538 | 0.9963 |
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| 2.9339 | 40.32 | 1250 | 0.4530 | 0.5406 |
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| 0.9878 | 48.39 | 1500 | 0.1807 | 0.3373 |
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| 0.9878 | 56.45 | 1750 | 0.0814 | 0.2436 |
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| 0.3416 | 64.52 | 2000 | 0.0512 | 0.2114 |
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| 0.3416 | 72.58 | 2250 | 0.0292 | 0.1823 |
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| 0.1952 | 80.65 | 2500 | 0.0198 | 0.1742 |
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| 0.1952 | 88.71 | 2750 | 0.0158 | 0.1631 |
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| 0.1476 | 96.77 | 3000 | 0.0136 | 0.1612 |
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### Framework versions
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- Transformers 4.31.0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.1
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- Tokenizers 0.13.3
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