End of training

README.md

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+---
+language:
+- en
+license: apache-2.0
+base_model: openai/whisper-base.en
+tags:
+- generated_from_trainer
+datasets:
+- Hani89/medical_asr_recording_dataset
+metrics:
+- wer
+model-index:
+- name: English Whisper Model
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Medical
+      type: Hani89/medical_asr_recording_dataset
+      args: 'split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 8.218579234972678
+---
+
+<!-- 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. -->
+
+# English Whisper Model
+
+This model is a fine-tuned version of [openai/whisper-base.en](https://huggingface.co/openai/whisper-base.en) on the Medical dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1241
+- Wer: 8.2186
+
+## 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: 16
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 3000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer    |
+|:-------------:|:------:|:----:|:---------------:|:------:|
+| 0.0573        | 3.0030 | 1000 | 0.1333          | 8.6703 |
+| 0.0073        | 6.0060 | 2000 | 0.1185          | 8.2914 |
+| 0.0009        | 9.0090 | 3000 | 0.1241          | 8.2186 |
+
+
+### Framework versions
+
+- Transformers 4.42.3
+- Pytorch 2.1.2
+- Datasets 2.20.0
+- Tokenizers 0.19.1

generation_config.json

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+  "begin_suppress_tokens": [
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+    50256
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+  "bos_token_id": 50257,
+  "decoder_start_token_id": 50257,
+  "eos_token_id": 50256,
+  "forced_decoder_ids": [
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+  "is_multilingual": false,
+  "max_initial_timestamp_index": 50,
+  "max_length": 448,
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+  "pad_token_id": 50256,
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+  "return_timestamps": false,
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+  "transformers_version": "4.42.3"
+}