Model save

README.md

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+---
+license: apache-2.0
+base_model: arun100/whisper-base-bn
+tags:
+- generated_from_trainer
+datasets:
+- common_voice_16_0
+metrics:
+- wer
+model-index:
+- name: arun100/whisper-base-bn
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: common_voice_16_0
+      type: common_voice_16_0
+      config: bn
+      split: test
+      args: bn
+    metrics:
+    - name: Wer
+      type: wer
+      value: 29.92358146984869
+---
+
+<!-- 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. -->
+
+# arun100/whisper-base-bn
+
+This model is a fine-tuned version of [arun100/whisper-base-bn](https://huggingface.co/arun100/whisper-base-bn) on the common_voice_16_0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2151
+- Wer: 29.9236
+
+## 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-06
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 8500
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.2476        | 1.72  | 500  | 0.2751          | 36.1695 |
+| 0.2284        | 3.43  | 1000 | 0.2622          | 35.1668 |
+| 0.213         | 5.15  | 1500 | 0.2524          | 34.2022 |
+| 0.2048        | 6.86  | 2000 | 0.2447          | 33.5266 |
+| 0.1948        | 8.58  | 2500 | 0.2382          | 32.7495 |
+| 0.1852        | 10.29 | 3000 | 0.2334          | 32.2322 |
+| 0.1789        | 12.01 | 3500 | 0.2295          | 31.7244 |
+| 0.1738        | 13.72 | 4000 | 0.2260          | 31.2341 |
+| 0.166         | 15.44 | 4500 | 0.2236          | 30.9562 |
+| 0.1629        | 17.15 | 5000 | 0.2214          | 30.8171 |
+| 0.1636        | 18.87 | 5500 | 0.2194          | 30.4368 |
+| 0.1578        | 20.58 | 6000 | 0.2181          | 30.2520 |
+| 0.1628        | 22.3  | 6500 | 0.2170          | 30.1858 |
+| 0.1566        | 24.01 | 7000 | 0.2161          | 30.0694 |
+| 0.1564        | 25.73 | 7500 | 0.2156          | 29.9943 |
+| 0.1545        | 27.44 | 8000 | 0.2153          | 29.9294 |
+| 0.1548        | 29.16 | 8500 | 0.2151          | 29.9236 |
+
+
+### Framework versions
+
+- Transformers 4.37.0.dev0
+- Pytorch 2.1.2+cu121
+- Datasets 2.16.2.dev0
+- Tokenizers 0.15.0

generation_config.json

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+}