Commit
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d8a1d5c
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2281550
End of training
Browse files- README.md +78 -0
- adapter.vi.safetensors +3 -0
- model.safetensors +1 -1
README.md
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---
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license: cc-by-nc-4.0
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base_model: facebook/mms-1b-all
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tags:
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- generated_from_trainer
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datasets:
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- common_voice_6_1
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metrics:
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- wer
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model-index:
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- name: wav2vec2-large-mms-1b-turkish-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_6_1
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type: common_voice_6_1
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config: vi
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split: test
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args: vi
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metrics:
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- name: Wer
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type: wer
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value: 0.3798342541436464
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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-mms-1b-turkish-colab
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This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on the common_voice_6_1 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5500
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- Wer: 0.3798
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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: 0.001
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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: 100
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- num_epochs: 4
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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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| 8.2154 | 1.89 | 100 | 0.6394 | 0.4448 |
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| 0.4996 | 3.77 | 200 | 0.5500 | 0.3798 |
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### Framework versions
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- Transformers 4.36.0.dev0
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- Pytorch 2.1.0+cu118
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- Datasets 2.14.6
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- Tokenizers 0.14.1
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adapter.vi.safetensors
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model.safetensors
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