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-large-et-clinic
+  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-large-et-clinic
+
+This model is a fine-tuned version of [agnesluhtaru/whisper-large-et-ERR2020-v2](https://huggingface.co/agnesluhtaru/whisper-large-et-ERR2020-v2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3862
+- Wer: 15.5413
+
+## 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: 1
+- seed: 42
+- gradient_accumulation_steps: 16
+- 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: 200
+- training_steps: 2000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.0278        | 4.03  | 500  | 0.2986          | 16.9940 |
+| 0.0037        | 8.06  | 1000 | 0.3383          | 16.1774 |
+| 0.0017        | 12.1  | 1500 | 0.3619          | 15.8035 |
+| 0.0008        | 16.13 | 2000 | 0.3862          | 15.5413 |
+
+
+### Framework versions
+
+- Transformers 4.26.0.dev0
+- Pytorch 1.12.1+rocm5.1.1
+- Datasets 2.7.1.dev0
+- Tokenizers 0.13.2