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: 6.283680067931677
+---
+
+<!-- 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: 0.1252
+- Wer: 6.2837
+
+## 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     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| 1.2359        | 0.2825 | 100  | 1.0423          | 10.4935 |
+| 0.6633        | 0.5650 | 200  | 0.6451          | 9.5072  |
+| 0.4199        | 0.8475 | 300  | 0.3864          | 8.5078  |
+| 0.1541        | 1.1299 | 400  | 0.1895          | 7.4202  |
+| 0.1228        | 1.4124 | 500  | 0.1642          | 6.8781  |
+| 0.1132        | 1.6949 | 600  | 0.1471          | 6.8422  |
+| 0.1076        | 1.9774 | 700  | 0.1356          | 6.3261  |
+| 0.0717        | 2.2599 | 800  | 0.1333          | 6.1334  |
+| 0.0682        | 2.5424 | 900  | 0.1284          | 6.3947  |
+| 0.0627        | 2.8249 | 1000 | 0.1265          | 6.5972  |
+| 0.0367        | 3.1073 | 1100 | 0.1261          | 6.2478  |
+| 0.0452        | 3.3898 | 1200 | 0.1265          | 6.3784  |
+| 0.0374        | 3.6723 | 1300 | 0.1257          | 6.3980  |
+| 0.0523        | 3.9548 | 1400 | 0.1248          | 6.1596  |
+| 0.031         | 4.2373 | 1500 | 0.1252          | 6.2837  |
+
+
+### Framework versions
+
+- Transformers 4.43.3
+- Pytorch 2.1.2
+- Datasets 2.20.0
+- Tokenizers 0.19.1

generation_config.json

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+    [
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+      3
+    ],
+    [
+      4,
+      7
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+    [
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+      1
+    ],
+    [
+      5,
+      5
+    ],
+    [
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+      7
+    ]
+  ],
+  "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": "4.43.3"
+}