update model card README.md

README.md

@@ -0,0 +1,80 @@
+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- common_voice_11_0
+metrics:
+- wer
+model-index:
+- name: openai/whisper-small
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: common_voice_11_0
+      type: common_voice_11_0
+      config: fy-NL
+      split: test
+      args: fy-NL
+    metrics:
+    - name: Wer
+      type: wer
+      value: 22.0360180090045
+---
+
+<!-- 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. -->
+
+# openai/whisper-small
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the common_voice_11_0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6044
+- Wer: 22.0360
+
+## 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: 64
+- eval_batch_size: 32
+- 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: 5000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.0078        | 10.01 | 1000 | 0.5184          | 23.0973 |
+| 0.0009        | 21.0  | 2000 | 0.5653          | 22.5434 |
+| 0.0007        | 31.01 | 3000 | 0.5703          | 21.8466 |
+| 0.0004        | 42.0  | 4000 | 0.5968          | 21.9574 |
+| 0.0003        | 52.01 | 5000 | 0.6044          | 22.0360 |
+
+
+### Framework versions
+
+- Transformers 4.26.0.dev0
+- Pytorch 1.13.0+cu117
+- Datasets 2.7.1.dev0
+- Tokenizers 0.13.2

run.log

@@ -427,3 +427,12 @@ xpu_backend=None,
 {'loss': 0.0003, 'learning_rate': 1.2222222222222225e-07, 'epoch': 52.0}
 {'loss': 0.0003, 'learning_rate': 6.666666666666668e-08, 'epoch': 52.01}
 {'loss': 0.0003, 'learning_rate': 1.1111111111111112e-08, 'epoch': 52.01}
+{'eval_loss': 0.6043606996536255, 'eval_wer': 22.0360180090045, 'eval_runtime': 787.9111, 'eval_samples_per_second': 3.841, 'eval_steps_per_second': 0.121, 'epoch': 52.01}
+{'train_runtime': 37248.8152, 'train_samples_per_second': 8.591, 'train_steps_per_second': 0.134, 'train_loss': 0.15504190982282162, 'epoch': 52.01}
+12/13/2022 03:22:24 - WARNING - huggingface_hub.repository - Several commits (2) will be pushed upstream.
+12/13/2022 03:22:24 - WARNING - huggingface_hub.repository - The progress bars may be unreliable.
+12/13/2022 03:22:27 - WARNING - huggingface_hub.repository - remote: Scanning LFS files for validity, may be slow...        
+remote: LFS file scan complete.        
+To https://huggingface.co/polixonrio/whisper-small-fy-NL-Transfer-From-English
+   682054c..a2a50aa  main -> main
+