update model card README.md

README.md

@@ -1,5 +1,63 @@
 ---
-license: mit
 tags:
-- whisper-event
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: Whisper-fineTuning-malayalam
+  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-fineTuning-malayalam
+
+This model was trained from scratch on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4138
+- Wer: 68.7356
+
+## 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: 12
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 4000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.0099        | 1.88  | 1000 | 0.3563          | 69.6552 |
+| 0.0046        | 3.77  | 2000 | 0.3860          | 70.1149 |
+| 0.001         | 5.65  | 3000 | 0.4105          | 70.3448 |
+| 0.0001        | 7.53  | 4000 | 0.4138          | 68.7356 |
+
+
+### Framework versions
+
+- Transformers 4.26.0.dev0
+- Pytorch 1.13.0+cu116
+- Datasets 2.8.0
+- Tokenizers 0.13.2