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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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- 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-en-v2 |
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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: 0.3695395513577332 |
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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-en-v2 |
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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: 0.7064 |
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- Wer Ortho: 0.3720 |
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- Wer: 0.3695 |
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## Model description |
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More information needed |
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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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More information needed |
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## Training procedure |
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### Training hyperparameters |
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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: 16 |
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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: constant_with_warmup |
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- lr_scheduler_warmup_steps: 50 |
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- training_steps: 500 |
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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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| 1.5939 | 7.14 | 50 | 0.6729 | 0.4294 | 0.4032 | |
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| 0.1094 | 14.29 | 100 | 0.5254 | 0.3763 | 0.3642 | |
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| 0.0057 | 21.43 | 150 | 0.5993 | 0.3646 | 0.3607 | |
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| 0.002 | 28.57 | 200 | 0.6255 | 0.3609 | 0.3601 | |
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| 0.0013 | 35.71 | 250 | 0.6444 | 0.3652 | 0.3625 | |
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| 0.0009 | 42.86 | 300 | 0.6603 | 0.3689 | 0.3660 | |
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| 0.0007 | 50.0 | 350 | 0.6736 | 0.3701 | 0.3678 | |
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| 0.0006 | 57.14 | 400 | 0.6857 | 0.3726 | 0.3707 | |
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| 0.0005 | 64.29 | 450 | 0.6965 | 0.3708 | 0.3689 | |
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| 0.0004 | 71.43 | 500 | 0.7064 | 0.3720 | 0.3695 | |
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### Framework versions |
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- Transformers 4.30.2 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.13.1 |
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- Tokenizers 0.13.3 |
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