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update model card README.md

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README.md CHANGED
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- Hello!
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: apache-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_11_0
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+ metrics:
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+ - wer
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+ model-index:
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+ - name: openai/whisper-small
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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_11_0
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+ type: common_voice_11_0
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+ config: es
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+ split: test
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+ args: es
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 8.44550699028117
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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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+ # openai/whisper-small
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+
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+ This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the common_voice_11_0 dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2520
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+ - Wer: 8.4455
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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: 1e-05
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+ - train_batch_size: 64
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+ - eval_batch_size: 64
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+ - seed: 42
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 128
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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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+ - training_steps: 5000
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+ - mixed_precision_training: Native AMP
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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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+ | 0.1386 | 4.01 | 1000 | 0.2464 | 9.8000 |
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+ | 0.1098 | 8.01 | 2000 | 0.2272 | 8.6229 |
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+ | 0.028 | 12.02 | 3000 | 0.2577 | 8.6956 |
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+ | 0.1083 | 16.02 | 4000 | 0.2210 | 8.2123 |
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+ | 0.0189 | 20.03 | 5000 | 0.2520 | 8.4455 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.29.0.dev0
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+ - Pytorch 2.0.0+cu117
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+ - Datasets 2.12.1.dev0
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+ - Tokenizers 0.13.3
training.log CHANGED
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  [INFO|configuration_utils.py:364] 2023-05-12 06:45:07,589 >> Configuration saved in ./generation_config.json
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  [INFO|modeling_utils.py:1855] 2023-05-12 06:45:10,742 >> Model weights saved in ./pytorch_model.bin
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  [INFO|feature_extraction_utils.py:369] 2023-05-12 06:45:10,746 >> Feature extractor saved in ./preprocessor_config.json
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  [INFO|configuration_utils.py:364] 2023-05-12 06:45:07,589 >> Configuration saved in ./generation_config.json
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  [INFO|modeling_utils.py:1855] 2023-05-12 06:45:10,742 >> Model weights saved in ./pytorch_model.bin
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  [INFO|feature_extraction_utils.py:369] 2023-05-12 06:45:10,746 >> Feature extractor saved in ./preprocessor_config.json
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+ Several commits (2) will be pushed upstream.
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+ {'eval_loss': 0.25196951627731323, 'eval_wer': 8.44550699028117, 'eval_runtime': 3402.3954, 'eval_samples_per_second': 4.561, 'eval_steps_per_second': 0.071, 'epoch': 20.03}
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+ {'train_runtime': 162214.2802, 'train_samples_per_second': 3.945, 'train_steps_per_second': 0.031, 'train_loss': 0.10428944413661957, 'epoch': 20.03}
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+ 05/12/2023 06:45:57 - WARNING - huggingface_hub.repository - Several commits (2) will be pushed upstream.
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+ The progress bars may be unreliable.
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+ 05/12/2023 06:45:57 - WARNING - huggingface_hub.repository - The progress bars may be unreliable.
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+ cbe0ded..ac68b76 main -> main
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+ 05/12/2023 06:47:27 - WARNING - huggingface_hub.repository - To https://huggingface.co/danielizham/whisper-small-es
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  [INFO|configuration_utils.py:458] 2023-05-12 06:45:07,586 >> Configuration saved in ./config.json
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+ The progress bars may be unreliable.
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+ 05/12/2023 06:45:57 - WARNING - huggingface_hub.repository - Several commits (2) will be pushed upstream.
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+ Upload file pytorch_model.bin: 931MB [01:20, 15.4MB/s] To https://huggingface.co/danielizham/whisper-small-es
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