Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: openai/whisper-medium
+tags:
+- generated_from_trainer
+datasets:
+- common_voice_17_0
+metrics:
+- wer
+model-index:
+- name: whisper-medium-bn-cv17
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: common_voice_17_0
+      type: common_voice_17_0
+      config: bn
+      split: test
+      args: bn
+    metrics:
+    - name: Wer
+      type: wer
+      value: 82.03492947159484
+---
+
+<!-- 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. -->
+
+# whisper-medium-bn-cv17
+
+This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the common_voice_17_0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0895
+- Wer: 82.0349
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: constant_with_warmup
+- lr_scheduler_warmup_steps: 500
+- training_steps: 6000
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| 0.1543        | 0.2618 | 500  | 0.1669          | 48.6957 |
+| 0.1152        | 0.5236 | 1000 | 0.1206          | 37.8234 |
+| 0.0954        | 0.7853 | 1500 | 0.1000          | 35.2442 |
+| 0.0535        | 1.0471 | 2000 | 0.0935          | 36.1322 |
+| 0.055         | 1.3089 | 2500 | 0.0878          | 43.8732 |
+| 0.0537        | 1.5707 | 3000 | 0.0836          | 55.5653 |
+| 0.0564        | 1.8325 | 3500 | 0.0776          | 74.2668 |
+| 0.0303        | 2.0942 | 4000 | 0.0819          | 84.9794 |
+| 0.0291        | 2.3560 | 4500 | 0.0806          | 56.1679 |
+| 0.0331        | 2.6178 | 5000 | 0.0784          | 85.8849 |
+| 0.0325        | 2.8796 | 5500 | 0.0802          | 72.0834 |
+| 0.0158        | 3.1414 | 6000 | 0.0895          | 82.0349 |
+
+
+### Framework versions
+
+- Transformers 4.45.2
+- Pytorch 2.2.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.20.1

generation_config.json

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+      15
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+    [
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+      4
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+    [
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+      1
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+  ],
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+    50257
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+  "forced_decoder_ids": [
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+    [
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+      50359
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+  ],
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+  "no_timestamps_token_id": 50363,
+  "pad_token_id": 50257,
+  "prev_sot_token_id": 50361,
+  "return_timestamps": false,
+  "suppress_tokens": [],
+  "task_to_id": {
+    "transcribe": 50359,
+    "translate": 50358
+  },
+  "transformers_version": "4.45.2"
+}

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