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wav2vec2-large-xls-r-300m-breton-colab_hyper
jcrkn/wav2vec2-large-xls-r-300m-breton-colab_hyper
wav2vec2-large-xls-r-300m-breton-colab_hyper is a automatic speech recognition model from jcrkn. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Aug 30, 2023
- Updated
- Aug 30, 2023
- SHA
- e9d9037b
Base models
Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
wav2vec2-large-xls-r-300m-breton-colab_hyper
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice_13_0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.9138
- Wer: 0.6464
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: 0.0003
- 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: 300
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 5.6958 | 1.01 | 300 | 2.5593 | 0.9952 |
| 1.4881 | 2.02 | 600 | 1.2057 | 0.8310 |
| 0.8911 | 3.03 | 900 | 0.9897 | 0.7268 |
| 0.6118 | 4.03 | 1200 | 0.9138 | 0.6464 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Aug 30, 2023
- Updated
- Aug 30, 2023