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update model card README.md

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README.md CHANGED
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  ---
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- language:
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- - eu
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  license: apache-2.0
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  tags:
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- - whisper-event
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  - generated_from_trainer
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  datasets:
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- - mozilla-foundation/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: Whisper Small Basque
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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: mozilla-foundation/common_voice_11_0 eu
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- type: mozilla-foundation/common_voice_11_0
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  config: eu
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  split: test
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  args: eu
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  metrics:
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  - name: Wer
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  type: wer
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- value: 18.933718752544582
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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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- # Whisper Small Basque
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- This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the mozilla-foundation/common_voice_11_0 eu dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3580
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- - Wer: 18.9337
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  ## Model description
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@@ -43,7 +40,7 @@ More information needed
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  ## Intended uses & limitations
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- If you need to use this model with [whisper.cpp](https://github.com/ggerganov/whisper.cpp), you can download the ggml file: [ggml-small-eu.bin](https://huggingface.co/xezpeleta/whisper-small-eu-v2/blob/main/ggml-small.eu.bin)
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  ## Training and evaluation data
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|
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- | 0.1372 | 2.04 | 1000 | 0.3166 | 22.2335 |
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- | 0.0175 | 4.07 | 2000 | 0.3356 | 19.9862 |
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- | 0.0055 | 7.02 | 3000 | 0.3580 | 18.9337 |
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- | 0.0015 | 9.06 | 4000 | 0.3803 | 18.9581 |
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- | 0.0013 | 12.01 | 5000 | 0.3908 | 18.9541 |
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  ### Framework versions
 
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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_13_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_13_0
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+ type: common_voice_13_0
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  config: eu
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  split: test
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  args: eu
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  metrics:
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  - name: Wer
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  type: wer
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+ value: 18.83024828871157
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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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+ # openai/whisper-small
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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_13_0 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3914
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+ - Wer: 18.8302
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  ## Model description
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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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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|
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+ | 0.1413 | 2.04 | 1000 | 0.3178 | 22.0139 |
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+ | 0.0181 | 4.07 | 2000 | 0.3376 | 20.2864 |
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+ | 0.0044 | 7.02 | 3000 | 0.3603 | 18.8768 |
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+ | 0.0016 | 9.06 | 4000 | 0.3812 | 18.7756 |
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+ | 0.0012 | 12.01 | 5000 | 0.3914 | 18.8302 |
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  ### Framework versions
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  [INFO|configuration_utils.py:447] 2023-07-20 18:46:21,343 >> Configuration saved in ./config.json
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  [INFO|modeling_utils.py:1693] 2023-07-20 18:46:22,695 >> Model weights saved in ./pytorch_model.bin
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  [INFO|feature_extraction_utils.py:368] 2023-07-20 18:46:22,710 >> Feature extractor saved in ./preprocessor_config.json
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  [INFO|configuration_utils.py:447] 2023-07-20 18:46:21,343 >> Configuration saved in ./config.json
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  [INFO|modeling_utils.py:1693] 2023-07-20 18:46:22,695 >> Model weights saved in ./pytorch_model.bin
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  [INFO|feature_extraction_utils.py:368] 2023-07-20 18:46:22,710 >> Feature extractor saved in ./preprocessor_config.json
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+ Several commits (2) will be pushed upstream.
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+ {'eval_loss': 0.3913772702217102, 'eval_wer': 18.83024828871157, 'eval_runtime': 973.2149, 'eval_samples_per_second': 6.772, 'eval_steps_per_second': 0.423, 'epoch': 12.01}
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+ {'train_runtime': 27653.1068, 'train_samples_per_second': 5.786, 'train_steps_per_second': 0.181, 'train_loss': 0.106446673027426, 'epoch': 12.01}
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+ 07/20/2023 18:46:51 - 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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+ 07/20/2023 18:46:51 - WARNING - huggingface_hub.repository - The progress bars may be unreliable.
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+ 07/20/2023 19:08:06 - WARNING - huggingface_hub.repository - To https://huggingface.co/xezpeleta/whisper-small-eu-v2
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