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: 9.045873924973758
+---
+
+<!-- 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: 0.2120
+- Wer: 9.0459
+
+## 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    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.0106        | 4.24  | 1000 | 0.1625          | 9.9888 |
+| 0.0034        | 8.47  | 2000 | 0.1841          | 9.8304 |
+| 0.0011        | 12.71 | 3000 | 0.1917          | 9.4031 |
+| 0.0004        | 16.95 | 4000 | 0.2075          | 9.1177 |
+| 0.0003        | 21.19 | 5000 | 0.2120          | 9.0459 |
+
+
+### Framework versions
+
+- Transformers 4.26.0.dev0
+- Pytorch 1.13.0+cu117
+- Datasets 2.7.1.dev0
+- Tokenizers 0.13.2

run.log

@@ -6380,3 +6380,10 @@ Time to load utils op: 0.00031685829162597656 seconds
 [2022-12-17 14:33:29,392] [INFO] [engine.py:2900:_get_all_zero_checkpoint_state_dicts] successfully read 1 ZeRO state_dicts for rank 0
 [2022-12-17 14:33:32,457] [INFO] [engine.py:2840:_load_zero_checkpoint] loading 1 zero partition checkpoints for rank 0
 {'train_runtime': 67979.462, 'train_samples_per_second': 4.707, 'train_steps_per_second': 0.074, 'train_loss': 0.015194951736927033, 'epoch': 21.19}
+12/17/2022 14:35:04 - WARNING - huggingface_hub.repository - Several commits (2) will be pushed upstream.
+12/17/2022 14:35:04 - WARNING - huggingface_hub.repository - The progress bars may be unreliable.
+12/17/2022 14:36:20 - 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-czech-cv11-v2
+   409b7ab..826f494  main -> main
+