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--- |
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library_name: transformers |
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language: |
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- lv |
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license: apache-2.0 |
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base_model: AiLab-IMCS-UL/whisper-large-v3-lv-late-cv19 |
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tags: |
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- hf-asr-leaderboard |
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- generated_from_trainer |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper large LV - Felikss Kleins |
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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 large LV - Felikss Kleins |
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This model is a fine-tuned version of [AiLab-IMCS-UL/whisper-large-v3-lv-late-cv19](https://huggingface.co/AiLab-IMCS-UL/whisper-large-v3-lv-late-cv19) on the Recorded Voice dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1620 |
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- Wer: 10.8617 |
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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: 16 |
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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: Use adamw_hf with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 250 |
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- training_steps: 2500 |
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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 | 36.0360 | 1000 | 0.1513 | 12.6354 | |
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| 0.0007 | 72.0721 | 2000 | 0.1620 | 10.8617 | |
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### Framework versions |
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- Transformers 4.46.3 |
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- Pytorch 2.4.1 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
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