zainulhakim commited on
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Training in progress, step 100

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  1. README.md +12 -12
  2. model.safetensors +1 -1
  3. training_args.bin +2 -2
README.md CHANGED
@@ -1,24 +1,24 @@
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  ---
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  license: apache-2.0
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- base_model: zainulhakim/240615-wav2vec2-ASR-English
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  tags:
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  - generated_from_trainer
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  metrics:
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  - wer
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  model-index:
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- - name: 240624-wav2vec2-ASR-English
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  results: []
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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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- # 240624-wav2vec2-ASR-English
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- This model is a fine-tuned version of [zainulhakim/240615-wav2vec2-ASR-English](https://huggingface.co/zainulhakim/240615-wav2vec2-ASR-English) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.9959
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- - Wer: 0.6623
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  ## Model description
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@@ -38,23 +38,23 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 0.0001
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- - train_batch_size: 4
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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: 500
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- - num_epochs: 20
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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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- | No log | 5.0 | 100 | 2.6284 | 1.0 |
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- | No log | 10.0 | 200 | 0.8606 | 0.8831 |
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- | No log | 15.0 | 300 | 0.9080 | 0.7273 |
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- | No log | 20.0 | 400 | 0.9959 | 0.6623 |
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  ### Framework versions
 
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  ---
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  license: apache-2.0
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+ base_model: facebook/wav2vec2-base
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  tags:
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  - generated_from_trainer
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  metrics:
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  - wer
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  model-index:
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+ - name: 240615-wav2vec2-ASR-Chinese
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  results: []
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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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+ # 240615-wav2vec2-ASR-Chinese
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+ This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.2831
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+ - Wer: 0.2399
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 0.0001
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+ - train_batch_size: 5
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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: 500
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+ - num_epochs: 30
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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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+ | No log | 6.25 | 100 | 1.2831 | 0.2399 |
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+ | No log | 12.5 | 200 | 1.2996 | 0.2657 |
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+ | No log | 18.75 | 300 | 1.3705 | 0.3092 |
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+ | No log | 25.0 | 400 | 1.3119 | 0.3269 |
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  ### Framework versions
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