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--- |
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language: |
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- he |
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license: apache-2.0 |
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base_model: openai/whisper-medium |
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tags: |
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- hf-asr-leaderboard |
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- generated_from_trainer |
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model-index: |
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- name: he |
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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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# he |
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- eval_loss: 0.7434 |
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- eval_wer: 12.1548 |
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- eval_avg_precision_Exact: 0.9045 |
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- eval_avg_recall_Exact: 0.9047 |
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- eval_avg_f1_Exact: 0.9042 |
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- eval_avg_precision_Letter_Shift: 0.9263 |
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- eval_avg_recall_Letter_Shift: 0.9265 |
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- eval_avg_f1_Letter_Shift: 0.9260 |
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- eval_avg_precision_Word_Level: 0.9288 |
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- eval_avg_recall_Word_Level: 0.9291 |
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- eval_avg_f1_Word_Level: 0.9285 |
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- eval_avg_precision_Word_Shift: 0.9744 |
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- eval_avg_recall_Word_Shift: 0.9757 |
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- eval_avg_f1_Word_Shift: 0.9746 |
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- eval_precision_median_exact: 1.0 |
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- eval_recall_median_exact: 1.0 |
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- eval_f1_median_exact: 1.0 |
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- eval_precision_max_exact: 1.0 |
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- eval_recall_max_exact: 1.0 |
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- eval_f1_max_exact: 1.0 |
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- eval_precision_min_Exact: 0.0 |
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- eval_recall_min_Exact: 0.0 |
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- eval_f1_min_Exact: 0.0 |
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- eval_precision_min_Letter_Shift: 0.0 |
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- eval_recall_min_Letter_Shift: 0.0 |
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- eval_f1_min_Letter_Shift: 0.0 |
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- eval_precision_min_Word_Level: 0.0 |
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- eval_recall_min_Word_Level: 0.0 |
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- eval_f1_min_Word_Level: 0.0 |
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- eval_precision_min_Word_Shift: 0.0 |
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- eval_recall_min_Word_Shift: 0.0 |
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- eval_f1_min_Word_Shift: 0.0 |
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- eval_runtime: 1534.2005 |
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- eval_samples_per_second: 1.755 |
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- eval_steps_per_second: 0.055 |
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- step: 0 |
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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: 8 |
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- eval_batch_size: 32 |
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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: linear |
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- lr_scheduler_warmup_steps: 100 |
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- training_steps: 30000 |
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- mixed_precision_training: Native AMP |
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### Framework versions |
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- Transformers 4.39.0.dev0 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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