End of training

README.md

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+---
+language:
+- en
+license: apache-2.0
+base_model: openai/whisper-tiny.en
+tags:
+- generated_from_trainer
+datasets:
+- Dev372/Medical_STT_Dataset_1.1
+metrics:
+- wer
+model-index:
+- name: English Whisper Model
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Medical
+      type: Dev372/Medical_STT_Dataset_1.1
+      args: 'split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 6.5482216924132075
+---
+
+<!-- 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-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on the Medical dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1566
+- Wer: 6.5482
+
+## 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: 18
+- 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: 1100
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| 1.8857        | 0.1554 | 55   | 1.6694          | 13.1520 |
+| 1.3264        | 0.3107 | 110  | 1.0577          | 11.8358 |
+| 0.9159        | 0.4661 | 165  | 0.8809          | 10.3857 |
+| 0.8292        | 0.6215 | 220  | 0.7654          | 9.8893  |
+| 0.641         | 0.7768 | 275  | 0.6364          | 9.2557  |
+| 0.5445        | 0.9322 | 330  | 0.4931          | 8.6417  |
+| 0.4072        | 1.0876 | 385  | 0.3397          | 8.2759  |
+| 0.2378        | 1.2429 | 440  | 0.2414          | 8.1322  |
+| 0.2109        | 1.3983 | 495  | 0.2116          | 7.6684  |
+| 0.1641        | 1.5537 | 550  | 0.1940          | 7.6423  |
+| 0.1498        | 1.7090 | 605  | 0.1819          | 7.1198  |
+| 0.1445        | 1.8644 | 660  | 0.1752          | 6.8095  |
+| 0.1349        | 2.0198 | 715  | 0.1679          | 6.7181  |
+| 0.1032        | 2.1751 | 770  | 0.1661          | 6.7344  |
+| 0.0898        | 2.3305 | 825  | 0.1632          | 6.8291  |
+| 0.1032        | 2.4859 | 880  | 0.1606          | 6.7278  |
+| 0.0845        | 2.6412 | 935  | 0.1592          | 6.7083  |
+| 0.0958        | 2.7966 | 990  | 0.1578          | 6.5743  |
+| 0.097         | 2.9520 | 1045 | 0.1570          | 6.5515  |
+| 0.0689        | 3.1073 | 1100 | 0.1566          | 6.5482  |
+
+
+### Framework versions
+
+- Transformers 4.43.2
+- Pytorch 2.1.2
+- Datasets 2.20.0
+- Tokenizers 0.19.1

generation_config.json

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+    [
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+    [
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+    [
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+      2
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+    [
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+    [
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+      4
+    ]
+  ],
+  "begin_suppress_tokens": [
+    220,
+    50256
+  ],
+  "bos_token_id": 50257,
+  "decoder_start_token_id": 50257,
+  "eos_token_id": 50256,
+  "forced_decoder_ids": [
+    [
+      1,
+      50362
+    ]
+  ],
+  "is_multilingual": false,
+  "max_initial_timestamp_index": 50,
+  "max_length": 448,
+  "no_timestamps_token_id": 50362,
+  "pad_token_id": 50256,
+  "prev_sot_token_id": 50360,
+  "return_timestamps": false,
+  "suppress_tokens": [
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+  "transformers_version": "4.43.2"
+}