update model card README.md

README.md

@@ -0,0 +1,79 @@
+---
+language:
+- en
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- alxfng/noisycommonvoice
+metrics:
+- wer
+model-index:
+- name: Whisper Base Noisy
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Noisy Common Voice
+      type: alxfng/noisycommonvoice
+      config: null
+      split: None
+    metrics:
+    - name: Wer
+      type: wer
+      value: 59.32123598390824
+---
+
+<!-- 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 Base Noisy
+
+This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Noisy Common Voice dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4454
+- Wer: 59.3212
+
+## 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: 16
+- 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
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.3125        | 3.19  | 1000 | 1.0918          | 56.8476 |
+| 0.0585        | 6.39  | 2000 | 1.2650          | 58.9703 |
+| 0.0153        | 9.58  | 3000 | 1.3946          | 58.3412 |
+| 0.0066        | 12.78 | 4000 | 1.4454          | 59.3212 |
+
+
+### Framework versions
+
+- Transformers 4.30.0.dev0
+- Pytorch 2.0.1+cu118
+- Datasets 2.12.0
+- Tokenizers 0.13.3