End of training

README.md

@@ -1,3 +1,96 @@
----
-license: mit
----
+---
+language:
+- bn
+license: apache-2.0
+base_model: openai/whisper-base
+tags:
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_11_0
+metrics:
+- wer
+model-index:
+- name: Whisper Base Bn - Raiyan Ahmed
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 11.0
+      type: mozilla-foundation/common_voice_11_0
+      config: bn
+      split: None
+      args: 'config: bn, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 33.54106242324475
+---
+
+<!-- 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 Base Bn - Raiyan Ahmed
+
+This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Common Voice 11.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2026
+- Wer: 33.5411
+
+## 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: 3.75e-05
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 16000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step  | Validation Loss | Wer     |
+|:-------------:|:-------:|:-----:|:---------------:|:-------:|
+| 0.2369        | 0.6365  | 1000  | 0.2433          | 62.1881 |
+| 0.1242        | 1.2731  | 2000  | 0.1734          | 49.4369 |
+| 0.1022        | 1.9096  | 3000  | 0.1197          | 39.0531 |
+| 0.046         | 2.5461  | 4000  | 0.1067          | 34.5497 |
+| 0.0777        | 3.1827  | 5000  | 0.1440          | 43.2194 |
+| 0.0649        | 3.8192  | 6000  | 0.1266          | 38.6232 |
+| 0.0367        | 4.4558  | 7000  | 0.1288          | 38.0392 |
+| 0.0126        | 5.0923  | 8000  | 0.1382          | 35.0226 |
+| 0.0108        | 5.7288  | 9000  | 0.1416          | 34.5340 |
+| 0.0038        | 6.3654  | 10000 | 0.1611          | 33.3921 |
+| 0.0023        | 7.0019  | 11000 | 0.1744          | 33.4875 |
+| 0.0133        | 7.6384  | 12000 | 0.1625          | 36.0534 |
+| 0.0066        | 8.2750  | 13000 | 0.1801          | 35.3936 |
+| 0.004         | 8.9115  | 14000 | 0.1781          | 34.1577 |
+| 0.0009        | 9.5481  | 15000 | 0.1918          | 33.6939 |
+| 0.0003        | 10.1846 | 16000 | 0.2026          | 33.5411 |
+
+
+### Framework versions
+
+- Transformers 4.40.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

generation_config.json

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+  "is_multilingual": true,
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+  "transformers_version": "4.40.2"
+}

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