update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: whisper-dpv-finetuned-WITH-AUGMENTATION-LOWER-LR
+  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-dpv-finetuned-WITH-AUGMENTATION-LOWER-LR
+
+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: 0.5717
+- Wer: 34.5241
+
+## 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: 1
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 4
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.6221        | 0.62  | 1000 | 0.5345          | 35.9711 |
+| 0.4318        | 1.25  | 2000 | 0.5271          | 34.9537 |
+| 0.3859        | 1.87  | 3000 | 0.5338          | 34.3658 |
+| 0.3005        | 2.49  | 4000 | 0.5532          | 34.8858 |
+| 0.2444        | 3.12  | 5000 | 0.5628          | 33.7102 |
+| 0.315         | 3.74  | 6000 | 0.5717          | 34.5241 |
+
+
+### Framework versions
+
+- Transformers 4.26.0.dev0
+- Pytorch 1.12.1
+- Datasets 2.7.1
+- Tokenizers 0.13.2