Model save

README.md

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+---
+license: apache-2.0
+base_model: openai/whisper-tiny
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: whisper-tiny-hindi2_test
+  results: []
+---
+
+<!-- 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-hindi2_test
+
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6249
+- Wer: 73.7172
+
+## 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: 4
+- 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: 312
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer      |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 2.2169        | 1.2698 | 40   | 1.7869          | 241.5580 |
+| 1.0037        | 2.5397 | 80   | 0.8910          | 78.5521  |
+| 0.5907        | 3.8095 | 120  | 0.6249          | 73.7172  |
+
+
+### Framework versions
+
+- Transformers 4.41.1
+- Pytorch 2.3.1+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

generation_config.json

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+}

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whisper-tiny-hindi-checkpoint-chunk-1/config.json

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whisper-tiny-hindi-checkpoint-chunk-1/generation_config.json

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whisper-tiny-hindi-checkpoint-chunk-1/preprocessor_config.json

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+}

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