update model card README.md

README.md

@@ -0,0 +1,65 @@
+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: openai/whisper-medium
+  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. -->
+
+# openai/whisper-medium
+
+This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1711
+- Wer: 10.1446
+
+## 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-06
+- train_batch_size: 32
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 200
+- training_steps: 5000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.111         | 0.2   | 1000 | 0.1786          | 11.0063 |
+| 0.0961        | 1.16  | 2000 | 0.1719          | 10.5906 |
+| 0.0732        | 2.12  | 3000 | 0.1743          | 10.3268 |
+| 0.0742        | 3.08  | 4000 | 0.1715          | 10.2262 |
+| 0.0692        | 4.03  | 5000 | 0.1711          | 10.1446 |
+
+
+### Framework versions
+
+- Transformers 4.26.0.dev0
+- Pytorch 1.13.0+cu117
+- Datasets 2.7.1.dev0
+- Tokenizers 0.13.2

training.log

@@ -33391,3 +33391,35 @@ Training completed. Do not forget to share your model on huggingface.co/models =
 [INFO|configuration_utils.py:447] 2022-12-13 05:26:41,273 >> Configuration saved in ./config.json
 [INFO|modeling_utils.py:1671] 2022-12-13 05:26:44,710 >> Model weights saved in ./pytorch_model.bin
 [INFO|feature_extraction_utils.py:368] 2022-12-13 05:26:44,727 >> Feature extractor saved in ./preprocessor_config.json
+Several commits (2) will be pushed upstream.
+{'loss': 0.1087, 'learning_rate': 4.2500000000000003e-08, 'epoch': 3.24}
+{'loss': 0.0933, 'learning_rate': 3.7291666666666665e-08, 'epoch': 3.24}
+{'loss': 0.0561, 'learning_rate': 3.208333333333333e-08, 'epoch': 4.0}
+{'loss': 0.0479, 'learning_rate': 2.6874999999999997e-08, 'epoch': 4.01}
+{'loss': 0.0686, 'learning_rate': 2.1666666666666665e-08, 'epoch': 4.01}
+{'loss': 0.0595, 'learning_rate': 1.645833333333333e-08, 'epoch': 4.02}
+{'loss': 0.0784, 'learning_rate': 1.125e-08, 'epoch': 4.02}
+{'loss': 0.0767, 'learning_rate': 6.041666666666666e-09, 'epoch': 4.03}
+{'loss': 0.0692, 'learning_rate': 8.333333333333334e-10, 'epoch': 4.03}
+{'eval_loss': 0.17108416557312012, 'eval_wer': 10.144624962040693, 'eval_runtime': 5757.3768, 'eval_samples_per_second': 1.762, 'eval_steps_per_second': 0.11, 'epoch': 4.03}
+{'train_runtime': 57069.8569, 'train_samples_per_second': 2.804, 'train_steps_per_second': 0.088, 'train_loss': 0.12449393980503082, 'epoch': 4.03}
+12/13/2022 05:27:04 - WARNING - huggingface_hub.repository - Several commits (2) will be pushed upstream.
+The progress bars may be unreliable.
+12/13/2022 05:27:04 - WARNING - huggingface_hub.repository - The progress bars may be unreliable.
+
+
+remote: LFS file scan complete.        
+To https://huggingface.co/zeynepgulhan/whisper-mediaspeech-cv-tr-v2
+   dea3da7..9c7037e  main -> main
+
+12/13/2022 05:29:17 - WARNING - huggingface_hub.repository - remote: Scanning LFS files for validity, may be slow...        
+remote: LFS file scan complete.        
+To https://huggingface.co/zeynepgulhan/whisper-mediaspeech-cv-tr-v2
+   dea3da7..9c7037e  main -> main
+
+
+
+
+
+[INFO|modelcard.py:449] 2022-12-13 05:29:21,255 >> Dropping the following result as it does not have all the necessary fields:
+{'task': {'name': 'Automatic Speech Recognition', 'type': 'automatic-speech-recognition'}, 'metrics': [{'name': 'Wer', 'type': 'wer', 'value': 10.144624962040693}]}