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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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- fleurs |
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metrics: |
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- wer |
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model-index: |
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- name: whisper-large-v2-greek |
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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: fleurs |
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type: fleurs |
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config: el_gr |
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split: test |
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args: el_gr |
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metrics: |
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- name: Wer |
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type: wer |
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value: 0.8398897182435613 |
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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-large-v2-greek |
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This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the fleurs dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2442 |
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- Wer Ortho: 0.8376 |
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- Wer: 0.8399 |
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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: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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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: constant_with_warmup |
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- lr_scheduler_warmup_steps: 50 |
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- num_epochs: 9 |
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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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| 0.1502 | 1.0 | 217 | 0.1780 | 1.1731 | 1.1960 | |
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| 0.0608 | 2.0 | 435 | 0.1869 | 1.1069 | 1.1209 | |
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| 0.0305 | 3.0 | 653 | 0.2029 | 1.1970 | 1.2144 | |
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| 0.0178 | 4.0 | 871 | 0.2186 | 1.3240 | 1.3458 | |
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| 0.0108 | 5.0 | 1088 | 0.2253 | 1.1080 | 1.1200 | |
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| 0.0076 | 6.0 | 1306 | 0.2301 | 1.0047 | 1.0155 | |
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| 0.0072 | 7.0 | 1524 | 0.2402 | 1.1153 | 1.1405 | |
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| 0.0051 | 8.0 | 1742 | 0.2434 | 1.0095 | 1.0264 | |
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| 0.0056 | 8.97 | 1953 | 0.2442 | 0.8376 | 0.8399 | |
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### Framework versions |
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- Transformers 4.30.0.dev0 |
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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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