End of training

README.md

@@ -0,0 +1,79 @@
+---
+language:
+- en
+license: apache-2.0
+base_model: openai/whisper-tiny.en
+tags:
+- generated_from_trainer
+datasets:
+- Dev372/Medical_STT_Dataset_1.0
+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_1.0
+      args: 'split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 6.200650255457501
+---
+
+<!-- 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: 0.1018
+- Wer: 6.2007
+
+## 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: 1500
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Wer    |
+|:-------------:|:-------:|:----:|:---------------:|:------:|
+| 0.0554        | 5.0505  | 500  | 0.0921          | 5.2253 |
+| 0.0044        | 10.1010 | 1000 | 0.0996          | 5.8059 |
+| 0.0015        | 15.1515 | 1500 | 0.1018          | 6.2007 |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.1.2
+- Datasets 2.20.0
+- Tokenizers 0.19.1

generation_config.json

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+  "forced_decoder_ids": [
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+  "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,
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+  "transformers_version": "4.42.4"
+}

model.safetensors

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