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--- |
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language: |
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- as |
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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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- google/fleurs |
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metrics: |
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- wer |
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model-index: |
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- name: kpriyanshu256/whisper-large-v2-as-600-32-1e-05-bn-Assamese |
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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 11.0 |
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type: mozilla-foundation/common_voice_11_0 |
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config: as |
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split: test |
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args: as |
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metrics: |
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- name: Wer |
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type: wer |
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value: 17.560007218913555 |
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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: google/fleurs |
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metrics: |
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- name: Wer |
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type: wer |
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value: |
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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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# kpriyanshu256/whisper-large-v2-as-600-32-1e-05-bn-Assamese |
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This model is a fine-tuned version of [kpriyanshu256/whisper-large-v2-as-600-32-1e-05-bn](https://huggingface.co/kpriyanshu256/whisper-large-v2-as-600-32-1e-05-bn) on the Common Voice 11.0 and the FLEURS datasets. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2486 |
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- Wer: 17.5600 |
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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: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 32 |
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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: 50 |
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- training_steps: 1000 |
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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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| 0.1273 | 0.1 | 100 | 0.1737 | 20.8988 | |
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| 0.0811 | 0.2 | 200 | 0.1739 | 19.0038 | |
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| 0.0638 | 0.3 | 300 | 0.1823 | 18.4804 | |
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| 0.0404 | 1.05 | 400 | 0.1893 | 17.1810 | |
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| 0.0316 | 1.15 | 500 | 0.2067 | 17.0186 | |
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| 0.027 | 1.25 | 600 | 0.2081 | 17.7405 | |
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| 0.025 | 2.01 | 700 | 0.2213 | 17.7585 | |
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| 0.0213 | 2.11 | 800 | 0.2237 | 17.8488 | |
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| 0.0176 | 2.21 | 900 | 0.2390 | 16.7479 | |
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| 0.0184 | 2.31 | 1000 | 0.2486 | 17.5600 | |
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### Framework versions |
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- Transformers 4.26.0.dev0 |
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- Pytorch 1.13.0+cu117 |
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- Datasets 2.7.1.dev0 |
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- Tokenizers 0.13.2 |
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