update model card README.md

README.md

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+---
+language:
+- ta
+license: apache-2.0
+tags:
+- whisper-event
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: Whisper tiny Ta example - Bharat Ramanathan
+  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 tiny Ta example - Bharat Ramanathan
+
+This model is a fine-tuned version of [parambharat/whisper-tiny-ta](https://huggingface.co/parambharat/whisper-tiny-ta) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4016
+- Wer: 36.5217
+
+## 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: 32
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 25
+- training_steps: 100
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.304         | 12.01 | 25   | 0.3614          | 31.7391 |
+| 0.1826        | 24.02 | 50   | 0.3851          | 35.2174 |
+| 0.1346        | 37.01 | 75   | 0.3999          | 37.8261 |
+| 0.1096        | 49.02 | 100  | 0.4016          | 36.5217 |
+
+
+### Framework versions
+
+- Transformers 4.26.0.dev0
+- Pytorch 1.13.0
+- Datasets 2.7.1.dev0
+- Tokenizers 0.13.2