update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: dgx1_whisper_base_finetune_teacher_no_noise_mozilla_100_epochs_batch_8
+  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. -->
+
+# dgx1_whisper_base_finetune_teacher_no_noise_mozilla_100_epochs_batch_8
+
+This model is a fine-tuned version of [openai/whisper-base.en](https://huggingface.co/openai/whisper-base.en) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9169
+- Wer: 31.4602
+
+## 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: 0.001
+- train_batch_size: 8
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 256
+- total_train_batch_size: 2048
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine_with_restarts
+- lr_scheduler_warmup_ratio: 0.2
+- num_epochs: 100
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.2713        | 14.7  | 500  | 0.7014          | 33.4447 |
+| 0.3607        | 29.41 | 1000 | 0.8578          | 34.2037 |
+| 0.0171        | 44.12 | 1500 | 0.9436          | 33.6293 |
+| 0.0035        | 58.82 | 2000 | 0.9271          | 31.8954 |
+| 0.0           | 73.53 | 2500 | 0.9195          | 31.5264 |
+| 0.0           | 88.23 | 3000 | 0.9169          | 31.4602 |
+
+
+### Framework versions
+
+- Transformers 4.25.1
+- Pytorch 1.12.1
+- Datasets 2.8.0
+- Tokenizers 0.13.2