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: mikr/whisper-small-cs-cv11
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: common_voice_11_0
+      type: common_voice_11_0
+      config: sk
+      split: test
+      args: sk
+    metrics:
+    - name: Wer
+      type: wer
+      value: 35.673488814850074
+---
+
+<!-- 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. -->
+
+# mikr/whisper-small-cs-cv11
+
+This model is a fine-tuned version of [mikr/whisper-small-cs-cv11](https://huggingface.co/mikr/whisper-small-cs-cv11) on the common_voice_11_0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7465
+- Wer: 35.6735
+
+## 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     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.001         | 21.0  | 1000 | 0.6507          | 37.3275 |
+| 0.0003        | 42.01 | 2000 | 0.6954          | 36.1138 |
+| 0.0002        | 63.01 | 3000 | 0.7223          | 35.4355 |
+| 0.0001        | 85.0  | 4000 | 0.7388          | 35.5902 |
+| 0.0001        | 106.0 | 5000 | 0.7465          | 35.6735 |
+
+
+### Framework versions
+
+- Transformers 4.26.0.dev0
+- Pytorch 1.13.0+cu117
+- Datasets 2.7.1.dev0
+- Tokenizers 0.13.2

run.log

@@ -452,3 +452,12 @@ xpu_backend=None,
 {'loss': 0.0001, 'learning_rate': 1.2000000000000002e-07, 'epoch': 105.0}
 {'loss': 0.0001, 'learning_rate': 6.444444444444445e-08, 'epoch': 105.01}
 {'loss': 0.0001, 'learning_rate': 8.88888888888889e-09, 'epoch': 106.0}
+{'eval_loss': 0.7465493083000183, 'eval_wer': 35.673488814850074, 'eval_runtime': 752.5079, 'eval_samples_per_second': 3.013, 'eval_steps_per_second': 0.094, 'epoch': 106.0}
+{'train_runtime': 47208.0079, 'train_samples_per_second': 6.779, 'train_steps_per_second': 0.106, 'train_loss': 0.04440673050563782, 'epoch': 106.0}
+12/15/2022 23:33:40 - WARNING - huggingface_hub.repository - Several commits (2) will be pushed upstream.
+12/15/2022 23:33:40 - WARNING - huggingface_hub.repository - The progress bars may be unreliable.
+12/15/2022 23:33:47 - WARNING - huggingface_hub.repository - remote: Scanning LFS files for validity, may be slow...        
+remote: LFS file scan complete.        
+To https://huggingface.co/mikr/whisper-small-cs-sk-cv11
+   e89b390..c511215  main -> main
+