End of training

README.md

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+---
+language:
+- bn
+license: apache-2.0
+base_model: openai/whisper-tiny
+tags:
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_13_0
+metrics:
+- wer
+model-index:
+- name: Whisper tiny bn - Raiyan
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice_13.0
+      type: mozilla-foundation/common_voice_13_0
+      config: bn
+      split: None
+      args: 'config: bn, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 44.349095570431565
+---
+
+<!-- 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 tiny bn - Raiyan
+
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Common Voice_13.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1734
+- Wer: 44.3491
+
+## 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: 6e-05
+- train_batch_size: 24
+- eval_batch_size: 12
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 50
+- training_steps: 3000
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| 0.261         | 1.0661 | 500  | 0.2417          | 63.3469 |
+| 0.1926        | 2.1322 | 1000 | 0.1941          | 54.3987 |
+| 0.1367        | 3.1983 | 1500 | 0.1729          | 49.3116 |
+| 0.0994        | 4.2644 | 2000 | 0.1622          | 46.2280 |
+| 0.0564        | 5.3305 | 2500 | 0.1669          | 45.0802 |
+| 0.0394        | 6.3966 | 3000 | 0.1734          | 44.3491 |
+
+
+### Framework versions
+
+- Transformers 4.41.0
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

generation_config.json

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+      2,
+      2
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+    [
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+      0
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+    [
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+    [
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+    [
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+    [
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+  ],
+  "begin_suppress_tokens": [
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+    50257
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+  "bos_token_id": 50257,
+  "decoder_start_token_id": 50258,
+  "eos_token_id": 50257,
+  "is_multilingual": true,
+  "lang_to_id": {
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+  "language": "bengali",
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+  "max_length": 448,
+  "no_timestamps_token_id": 50363,
+  "pad_token_id": 50257,
+  "prev_sot_token_id": 50361,
+  "return_timestamps": false,
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+  "task": "transcribe",
+  "task_to_id": {
+    "transcribe": 50359,
+    "translate": 50358
+  },
+  "transformers_version": "4.41.0"
+}