Model save

README.md

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+---
+license: apache-2.0
+base_model: openai/whisper-medium
+tags:
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: w-train-medium-Punjabi-4-0-2000-1e-05-8-8-500
+  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. -->
+
+# w-train-medium-Punjabi-4-0-2000-1e-05-8-8-500
+
+This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3046
+- Bleu: 29.3147
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 200
+- training_steps: 2000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Bleu    |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.0564        | 3.18  | 500  | 1.0654          | 26.3435 |
+| 0.0064        | 6.37  | 1000 | 1.1987          | 29.7507 |
+| 0.0009        | 9.55  | 1500 | 1.2901          | 29.5279 |
+| 0.0006        | 12.74 | 2000 | 1.3046          | 29.3147 |
+
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 2.0.0+cu117
+- Datasets 2.14.6
+- Tokenizers 0.14.1

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+}

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