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End of training

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  1. README.md +73 -6
  2. adapter.ben.safetensors +3 -0
  3. pytorch_model.bin +1 -1
README.md CHANGED
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  ---
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- license: apache-2.0
 
 
 
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  datasets:
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- - mozilla-foundation/common_voice_13_0
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- language:
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- - bn
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  metrics:
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  - wer
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- library_name: transformers
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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_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-mms-1b-bengali
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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: bn
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+ split: test
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+ args: bn
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 0.32564817853626515
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+ ---
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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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+
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+ # wav2vec2-large-mms-1b-bengali
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+
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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_13_0 dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2591
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+ - Wer: 0.3256
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 32
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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: 200
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+ - num_epochs: 3
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Wer |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 3.2087 | 1.07 | 1000 | 0.3193 | 0.3811 |
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+ | 0.3482 | 2.13 | 2000 | 0.2591 | 0.3256 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.33.0.dev0
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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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