End of training

README.md

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+---
+language:
+- he
+license: apache-2.0
+base_model: openai/whisper-medium
+tags:
+- hf-asr-leaderboard
+- generated_from_trainer
+model-index:
+- name: he
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# he
+
+This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 0.1359
+- eval_wer: 13.9763
+- eval_avg_precision_Exact: 0.8872
+- eval_avg_recall_Exact: 0.8877
+- eval_avg_f1_Exact: 0.8870
+- eval_avg_precision_Letter_Shift: 0.9084
+- eval_avg_recall_Letter_Shift: 0.9090
+- eval_avg_f1_Letter_Shift: 0.9083
+- eval_avg_precision_Word_Level: 0.9114
+- eval_avg_recall_Word_Level: 0.9124
+- eval_avg_f1_Word_Level: 0.9115
+- eval_avg_precision_Word_Shift: 0.9614
+- eval_avg_recall_Word_Shift: 0.9640
+- eval_avg_f1_Word_Shift: 0.9622
+- eval_precision_median_exact: 0.9375
+- eval_recall_median_exact: 0.9412
+- eval_f1_median_exact: 0.9524
+- eval_precision_max_exact: 1.0
+- eval_recall_max_exact: 1.0
+- eval_f1_max_exact: 1.0
+- eval_precision_min_Exact: 0.0
+- eval_recall_min_Exact: 0.0
+- eval_f1_min_Exact: 0.0
+- eval_precision_min_Letter_Shift: 0.0
+- eval_recall_min_Letter_Shift: 0.0
+- eval_f1_min_Letter_Shift: 0.0
+- eval_precision_min_Word_Level: 0.0
+- eval_recall_min_Word_Level: 0.0
+- eval_f1_min_Word_Level: 0.0
+- eval_precision_min_Word_Shift: 0.1429
+- eval_recall_min_Word_Shift: 0.1111
+- eval_f1_min_Word_Shift: 0.125
+- eval_runtime: 1569.5335
+- eval_samples_per_second: 1.715
+- eval_steps_per_second: 0.054
+- epoch: 0.75
+- step: 8000
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1e-05
+- train_batch_size: 8
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- training_steps: 30000
+- mixed_precision_training: Native AMP
+
+### Framework versions
+
+- Transformers 4.39.0.dev0
+- Pytorch 2.2.1+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.0

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