End of training

README.md

@@ -0,0 +1,91 @@
+---
+language:
+- en
+license: apache-2.0
+base_model: openai/whisper-tiny.en
+tags:
+- generated_from_trainer
+datasets:
+- Dev372/Medical_STT_Dataset_1_0_check_training
+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_check_training
+      args: 'split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 6.0845332094751505
+---
+
+<!-- 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: 0.1019
+- Wer: 6.0845
+
+## 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    |
+|:-------------:|:-------:|:----:|:---------------:|:------:|
+| 1.8606        | 1.0101  | 100  | 1.6059          | 9.1965 |
+| 1.0954        | 2.0202  | 200  | 1.0513          | 6.2935 |
+| 0.6627        | 3.0303  | 300  | 0.6161          | 6.6187 |
+| 0.1747        | 4.0404  | 400  | 0.1527          | 4.2034 |
+| 0.0554        | 5.0505  | 500  | 0.0924          | 5.3182 |
+| 0.028         | 6.0606  | 600  | 0.0819          | 4.0641 |
+| 0.0132        | 7.0707  | 700  | 0.0835          | 5.6897 |
+| 0.0085        | 8.0808  | 800  | 0.0913          | 5.5504 |
+| 0.0056        | 9.0909  | 900  | 0.0932          | 5.8059 |
+| 0.0043        | 10.1010 | 1000 | 0.0982          | 5.8059 |
+| 0.0023        | 11.1111 | 1100 | 0.0990          | 5.8755 |
+| 0.0016        | 12.1212 | 1200 | 0.1005          | 6.0149 |
+| 0.0015        | 13.1313 | 1300 | 0.1015          | 6.0613 |
+| 0.0016        | 14.1414 | 1400 | 0.1017          | 6.0613 |
+| 0.0015        | 15.1515 | 1500 | 0.1019          | 6.0845 |
+
+
+### 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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+  "begin_suppress_tokens": [
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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,
+  "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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