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whisper-tiny-few-audios

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Spanish
whisper
Generated from Trainer
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  1. README.md +17 -19
  2. model.safetensors +1 -1
README.md CHANGED
@@ -1,7 +1,5 @@
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  ---
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  library_name: transformers
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- language:
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- - spa
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  license: apache-2.0
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  base_model: openai/whisper-tiny
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  tags:
@@ -9,19 +7,19 @@ tags:
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  metrics:
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  - wer
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  model-index:
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- - name: Whisper Tiny Few Audios - vfranchis
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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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- # Whisper Tiny Few Audios - vfranchis
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- This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Few audios 1.0 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2013
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- - Wer: 25.0
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  ## Model description
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@@ -41,10 +39,10 @@ More information needed
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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: 4
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  - eval_batch_size: 8
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  - seed: 42
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- - gradient_accumulation_steps: 4
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  - total_train_batch_size: 16
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
@@ -56,16 +54,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-------:|:----:|:---------------:|:-------:|
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- | 1.9719 | 3.0769 | 10 | 1.5170 | 66.6667 |
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- | 0.7054 | 6.1538 | 20 | 0.7633 | 33.3333 |
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- | 0.1974 | 9.2308 | 30 | 0.5108 | 33.3333 |
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- | 0.0607 | 12.3077 | 40 | 0.3242 | 25.0 |
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- | 0.0196 | 15.3846 | 50 | 0.2431 | 25.0 |
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- | 0.0084 | 18.4615 | 60 | 0.2235 | 25.0 |
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- | 0.0056 | 21.5385 | 70 | 0.2111 | 25.0 |
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- | 0.0044 | 24.6154 | 80 | 0.2047 | 25.0 |
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- | 0.0038 | 27.6923 | 90 | 0.2027 | 25.0 |
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- | 0.0037 | 30.7692 | 100 | 0.2013 | 25.0 |
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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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  metrics:
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  - wer
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  model-index:
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+ - name: whisper-tiny-few-audios
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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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+ # whisper-tiny-few-audios
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+ This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3835
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+ - Wer: 15.7143
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  ## Model description
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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: 8
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  - eval_batch_size: 8
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  - seed: 42
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+ - gradient_accumulation_steps: 2
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  - total_train_batch_size: 16
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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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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-------:|:----:|:---------------:|:-------:|
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+ | 1.5625 | 2.8571 | 10 | 1.4533 | 77.1429 |
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+ | 0.6893 | 5.7143 | 20 | 0.7903 | 32.8571 |
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+ | 0.1921 | 8.5714 | 30 | 0.5135 | 34.2857 |
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+ | 0.0623 | 11.4286 | 40 | 0.4158 | 11.4286 |
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+ | 0.0222 | 14.2857 | 50 | 0.3903 | 14.2857 |
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+ | 0.0107 | 17.1429 | 60 | 0.3846 | 14.2857 |
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+ | 0.0069 | 20.0 | 70 | 0.3847 | 15.7143 |
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+ | 0.0055 | 22.8571 | 80 | 0.3842 | 15.7143 |
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+ | 0.0046 | 25.7143 | 90 | 0.3836 | 15.7143 |
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+ | 0.0044 | 28.5714 | 100 | 0.3835 | 15.7143 |
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  ### Framework versions
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