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: hu
+      split: test
+      args: hu
+    metrics:
+    - name: Wer
+      type: wer
+      value: 15.600355766380078
+---
+
+<!-- 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: 0.3313
+- Wer: 15.6004
+
+## 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     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.0076        | 7.52  | 1000 | 0.2607          | 16.0332 |
+| 0.0013        | 15.04 | 2000 | 0.2896          | 15.7842 |
+| 0.0009        | 22.55 | 3000 | 0.3042          | 16.2378 |
+| 0.0003        | 30.07 | 4000 | 0.3247          | 15.5944 |
+| 0.0002        | 37.59 | 5000 | 0.3313          | 15.6004 |
+
+
+### Framework versions
+
+- Transformers 4.26.0.dev0
+- Pytorch 1.13.0+cu117
+- Datasets 2.7.1.dev0
+- Tokenizers 0.13.2

run.log

@@ -6455,3 +6455,10 @@ Time to load utils op: 0.0003173351287841797 seconds
 [2022-12-19 17:53:29,120] [INFO] [engine.py:2900:_get_all_zero_checkpoint_state_dicts] successfully read 1 ZeRO state_dicts for rank 0
 [2022-12-19 17:53:30,350] [INFO] [engine.py:2840:_load_zero_checkpoint] loading 1 zero partition checkpoints for rank 0
 {'train_runtime': 64619.8702, 'train_samples_per_second': 4.952, 'train_steps_per_second': 0.077, 'train_loss': 0.01643497463464737, 'epoch': 37.59}
+12/19/2022 17:56:04 - WARNING - huggingface_hub.repository - Several commits (2) will be pushed upstream.
+12/19/2022 17:56:04 - WARNING - huggingface_hub.repository - The progress bars may be unreliable.
+12/19/2022 17:56:11 - WARNING - huggingface_hub.repository - remote: Scanning LFS files for validity, may be slow...        
+remote: LFS file scan complete.        
+To https://huggingface.co/mikr/whisper-large2-hu-cv11
+   ac2e03c..27a232c  main -> main
+