End of training

README.md

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+---
+library_name: transformers
+language:
+- en
+license: apache-2.0
+base_model: openai/whisper-medium.en
+tags:
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_17_0
+metrics:
+- wer
+model-index:
+- name: wme_30s_speed_1_1.1
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 17.0
+      type: mozilla-foundation/common_voice_17_0
+      args: 'config: en, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 37.507654623392526
+---
+
+<!-- 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. -->
+
+# wme_30s_speed_1_1.1
+
+This model is a fine-tuned version of [openai/whisper-medium.en](https://huggingface.co/openai/whisper-medium.en) on the Common Voice 17.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3186
+- Wer: 37.5077
+
+## 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: 4e-05
+- train_batch_size: 48
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 44
+- training_steps: 440
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| No log        | 0      | 0    | 2.2138          | 48.2854 |
+| 1.0333        | 0.2    | 88   | 1.3881          | 42.4985 |
+| 0.7738        | 1.0023 | 176  | 1.3164          | 40.4164 |
+| 0.3615        | 1.2023 | 264  | 1.2992          | 37.8138 |
+| 0.2739        | 2.0045 | 352  | 1.3088          | 38.8549 |
+| 0.1257        | 2.2045 | 440  | 1.3186          | 37.5077 |
+
+
+### Framework versions
+
+- Transformers 4.51.3
+- Pytorch 2.6.0+cu124
+- Datasets 3.6.0
+- Tokenizers 0.21.1

generation_config.json

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+      4
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+  ],
+  "begin_suppress_tokens": [
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+    50256
+  ],
+  "bos_token_id": 50257,
+  "decoder_start_token_id": 50257,
+  "eos_token_id": 50256,
+  "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": "4.51.3"
+}