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--- |
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language: |
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- el |
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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 - Greek (el) |
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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 el |
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type: mozilla-foundation/common_voice_11_0 |
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config: el |
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split: test |
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args: el |
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metrics: |
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- name: Wer |
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type: wer |
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value: 25.696508172362552 |
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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 - Greek (el) |
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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 el dataset |
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for translation from Greek to English. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4642 |
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- Wer: 25.6965 |
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## Model description |
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This model was finetuned with the encoder frozen. Only the decoder weights have been changed by this training run. |
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## Intended uses & limitations |
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The purpose of this model was to understand how the freezing of a part of the model might affect learning, in an effort to assess the feasibility of enabling adapters. |
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## Training and evaluation data |
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The training was performed by streaming interleaved train+eval spits of the greek (el) subset of mozilla-foundation/common_voice_11_0 (el). |
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The test set was similarly used for validation. |
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## Training procedure |
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The script used to perform the training is included in the files of this space: |
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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: 16 |
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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: 64 |
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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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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:| |
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| 0.0032 | 18.01 | 1000 | 0.4642 | 25.6965 | |
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| 0.0006 | 37.01 | 2000 | 0.5369 | 26.4395 | |
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| 0.0003 | 56.01 | 3000 | 0.5703 | 26.3187 | |
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| 0.0002 | 75.0 | 4000 | 0.5913 | 26.4302 | |
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| 0.0001 | 94.0 | 5000 | 0.5996 | 26.4952 | |
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### Framework versions |
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- Transformers 4.26.0.dev0 |
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- Pytorch 1.13.0 |
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- Datasets 2.7.1.dev0 |
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- Tokenizers 0.12.1 |
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