End of training
Browse files- README.md +87 -0
- pytorch_model.bin +1 -1
README.md
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---
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license: apache-2.0
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base_model: facebook/wav2vec2-xls-r-300m
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tags:
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- generated_from_trainer
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datasets:
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- common_voice_13_0
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metrics:
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- wer
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model-index:
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- name: wav2vec2-large-xls-r-300m-bretonwelsh-colab
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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: common_voice_13_0
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type: common_voice_13_0
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config: cy
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split: test
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args: cy
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metrics:
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- name: Wer
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type: wer
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value: 0.29761332022507164
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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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# wav2vec2-large-xls-r-300m-bretonwelsh-colab
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This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the common_voice_13_0 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4506
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- Wer: 0.2976
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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: 0.0004
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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: 500
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- num_epochs: 10
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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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| 2.9503 | 0.98 | 800 | 0.8330 | 0.7296 |
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| 0.6531 | 1.95 | 1600 | 0.5592 | 0.5470 |
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| 0.4637 | 2.93 | 2400 | 0.4711 | 0.4539 |
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| 0.3449 | 3.91 | 3200 | 0.4484 | 0.4116 |
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| 0.2694 | 4.88 | 4000 | 0.4313 | 0.3860 |
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| 0.2087 | 5.86 | 4800 | 0.4115 | 0.3616 |
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| 0.1649 | 6.84 | 5600 | 0.4105 | 0.3378 |
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| 0.1313 | 7.81 | 6400 | 0.4409 | 0.3236 |
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| 0.1079 | 8.79 | 7200 | 0.4402 | 0.3093 |
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| 0.0897 | 9.77 | 8000 | 0.4506 | 0.2976 |
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### Framework versions
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- Transformers 4.32.1
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 1262106861
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version https://git-lfs.github.com/spec/v1
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oid sha256:6128398f501b5b23cbbcb3694d7da5ef13714a632f9a57bce1b553714e71805f
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size 1262106861
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