update model card README.md

README.md

@@ -0,0 +1,82 @@
+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- common_voice_11_0
+metrics:
+- wer
+model-index:
+- name: openai/whisper-large-v2
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: common_voice_11_0
+      type: common_voice_11_0
+      config: cs
+      split: test
+      args: cs
+    metrics:
+    - name: Wer
+      type: wer
+      value: 8.473140457818456
+---
+
+<!-- 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-large-v2
+
+This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the common_voice_11_0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2913
+- Wer: 8.4731
+
+## 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: 8
+- seed: 42
+- distributed_type: multi-GPU
+- 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: 500
+- training_steps: 5000
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer    |
+|:-------------:|:------:|:----:|:---------------:|:------:|
+| 0.0022        | 24.39  | 1000 | 0.2181          | 8.7807 |
+| 0.0002        | 48.77  | 2000 | 0.2563          | 8.3774 |
+| 0.0001        | 73.17  | 3000 | 0.2756          | 8.4510 |
+| 0.0001        | 97.55  | 4000 | 0.2871          | 8.4823 |
+| 0.0001        | 121.94 | 5000 | 0.2913          | 8.4731 |
+
+
+### Framework versions
+
+- Transformers 4.26.0.dev0
+- Pytorch 1.13.0+cu117
+- Datasets 2.7.1.dev0
+- Tokenizers 0.13.2

run.log

@@ -40293,3 +40293,18 @@ Time to load utils op: 0.0002999305725097656 seconds
 [INFO|configuration_utils.py:447] 2022-12-21 03:50:12,963 >> Configuration saved in ./config.json
 [INFO|modeling_utils.py:1680] 2022-12-21 03:50:17,513 >> Model weights saved in ./pytorch_model.bin
 [INFO|feature_extraction_utils.py:368] 2022-12-21 03:50:17,528 >> Feature extractor saved in ./preprocessor_config.json
+Several commits (2) will be pushed upstream.
+12/21/2022 03:53:03 - WARNING - huggingface_hub.repository - Several commits (2) will be pushed upstream.
+The progress bars may be unreliable.
+12/21/2022 03:53:03 - WARNING - huggingface_hub.repository - The progress bars may be unreliable.
+
+remote: LFS file scan complete.        
+To https://huggingface.co/mikr/whisper-audio-concat-test
+   7fb1a03..7ee2db0  main -> main
+
+12/21/2022 03:53:11 - WARNING - huggingface_hub.repository - remote: Scanning LFS files for validity, may be slow...        
+remote: LFS file scan complete.        
+To https://huggingface.co/mikr/whisper-audio-concat-test
+   7fb1a03..7ee2db0  main -> main
+
+