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End of training

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  1. README.md +4 -12
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -1,10 +1,10 @@
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  ---
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  license: mit
 
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  tags:
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  - generated_from_trainer
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  datasets:
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- - common_voice_16_0
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- base_model: facebook/w2v-bert-2.0
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  model-index:
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  - name: w2v-bert-2.0-bangala-gpu-CV16.0
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  results: []
@@ -15,15 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # w2v-bert-2.0-bangala-gpu-CV16.0
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- This model is a fine-tuned version of [facebook/w2v-bert-2.0](https://huggingface.co/facebook/w2v-bert-2.0) on the common_voice_16_0 dataset.
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- It achieves the following results on the evaluation set:
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- - eval_loss: 0.3632
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- - eval_wer: 0.4035
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- - eval_runtime: 489.0577
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- - eval_samples_per_second: 19.045
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- - eval_steps_per_second: 2.382
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- - epoch: 15.12
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- - step: 14400
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  ## Model description
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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: 30
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  - mixed_precision_training: Native AMP
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  ### Framework versions
 
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  ---
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  license: mit
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+ base_model: facebook/w2v-bert-2.0
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  tags:
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  - generated_from_trainer
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  datasets:
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+ - common_voice_16_1
 
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  model-index:
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  - name: w2v-bert-2.0-bangala-gpu-CV16.0
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  results: []
 
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  # w2v-bert-2.0-bangala-gpu-CV16.0
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+ This model is a fine-tuned version of [facebook/w2v-bert-2.0](https://huggingface.co/facebook/w2v-bert-2.0) on the common_voice_16_1 dataset.
 
 
 
 
 
 
 
 
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  ## Model description
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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: 20
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  - mixed_precision_training: Native AMP
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  ### Framework versions
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