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End of training

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  1. README.md +17 -19
  2. config.json +9 -9
  3. generation_config.json +12 -26
  4. model.safetensors +2 -2
  5. training_args.bin +1 -1
README.md CHANGED
@@ -1,43 +1,41 @@
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  ---
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  library_name: transformers
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- language:
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- - dv
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  license: apache-2.0
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- base_model: openai/whisper-small
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  tags:
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  - generated_from_trainer
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  datasets:
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- - mozilla-foundation/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: Whisper Small Dv - Sanchit Gandhi
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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
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- type: mozilla-foundation/common_voice_13_0
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- config: dv
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- split: test
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- args: dv
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  metrics:
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  - name: Wer
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  type: wer
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- value: 13.504538025524221
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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 Dv - Sanchit Gandhi
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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 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1714
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- - Wer Ortho: 62.7829
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- - Wer: 13.5045
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  ## Model description
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@@ -70,9 +68,9 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
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- |:-------------:|:------:|:----:|:---------------:|:---------:|:-------:|
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- | 0.2436 | 1.6313 | 500 | 0.1714 | 62.7829 | 13.5045 |
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  ### Framework versions
 
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  ---
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  library_name: transformers
 
 
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  license: apache-2.0
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+ base_model: openai/whisper-tiny
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  tags:
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  - generated_from_trainer
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  datasets:
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+ - PolyAI/minds14
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  metrics:
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  - wer
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  model-index:
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+ - name: whisper_tiny-finetuned-minds14
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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: PolyAI/minds14
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+ type: PolyAI/minds14
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+ config: en-US
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+ split: train
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+ args: en-US
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  metrics:
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  - name: Wer
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  type: wer
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+ value: 0.32585596221959856
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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_tiny-finetuned-minds14
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+ This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the PolyAI/minds14 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7246
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+ - Wer Ortho: 0.3233
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+ - Wer: 0.3259
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
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+ |:-------------:|:-------:|:----:|:---------------:|:---------:|:------:|
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+ | 0.0007 | 17.8571 | 500 | 0.7246 | 0.3233 | 0.3259 |
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  ### Framework versions
config.json CHANGED
@@ -1,5 +1,5 @@
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  {
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- "_name_or_path": "openai/whisper-small",
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  "activation_dropout": 0.0,
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  "activation_function": "gelu",
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  "apply_spec_augment": false,
@@ -10,17 +10,17 @@
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  "begin_suppress_tokens": null,
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  "bos_token_id": 50257,
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  "classifier_proj_size": 256,
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  "max_target_positions": 448,
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  "median_filter_width": 7,
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  "num_mel_bins": 80,
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  "pad_token_id": 50257,
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  "scale_embedding": false,
 
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  "max_target_positions": 448,
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  "median_filter_width": 7,
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  "model_type": "whisper",
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  "num_mel_bins": 80,
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  "pad_token_id": 50257,
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  "scale_embedding": false,
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