update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: emilios/whisper-sm-farsipal-e5
+  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. -->
+
+# emilios/whisper-sm-farsipal-e5
+
+This model is a fine-tuned version of [emilios/whisper-sm-farsipal-e5](https://huggingface.co/emilios/whisper-sm-farsipal-e5) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5034
+- Wer: 16.5676
+
+## 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: 32
+- eval_batch_size: 16
+- seed: 42
+- distributed_type: multi-GPU
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 5000
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.0004        | 2.49  | 1000 | 0.4797          | 16.7348 |
+| 0.0003        | 4.98  | 2000 | 0.4895          | 16.5397 |
+| 0.0002        | 7.46  | 3000 | 0.4963          | 16.5119 |
+| 0.0002        | 9.95  | 4000 | 0.5015          | 16.4933 |
+| 0.0002        | 12.44 | 5000 | 0.5034          | 16.5676 |
+
+
+### Framework versions
+
+- Transformers 4.26.0.dev0
+- Pytorch 2.0.0.dev20221216+cu116
+- Datasets 2.7.1.dev0
+- Tokenizers 0.13.2