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-atcosim2
+  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-atcosim2
+
+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: 0.0524
+- Wer: 0.0304
+
+## 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: 2
+- eval_batch_size: 2
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 2
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 32
+- total_eval_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- training_steps: 300
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.5702        | 0.2   | 50   | 0.2557          | 0.1007 |
+| 0.1181        | 0.39  | 100  | 0.1144          | 0.0775 |
+| 0.1084        | 0.59  | 150  | 0.0747          | 0.0482 |
+| 0.0737        | 0.79  | 200  | 0.0616          | 0.0369 |
+| 0.064         | 0.98  | 250  | 0.0556          | 0.0440 |
+| 0.0313        | 1.18  | 300  | 0.0524          | 0.0304 |
+
+
+### Framework versions
+
+- Transformers 4.29.0
+- Pytorch 2.0.0+cu117
+- Datasets 2.12.0
+- Tokenizers 0.11.0