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: openai/whisper-medium
+  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: 23.453117563065206
+---
+
+<!-- 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 common_voice_11_0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4753
+- Wer: 23.4531
+
+## 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
+- distributed_type: multi-GPU
+- 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     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.001         | 14.29 | 1000 | 0.3982          | 23.1437 |
+| 0.0013        | 28.57 | 2000 | 0.4343          | 24.0362 |
+| 0.0001        | 42.86 | 3000 | 0.4565          | 23.3222 |
+| 0.0001        | 57.14 | 4000 | 0.4700          | 23.3936 |
+| 0.0001        | 71.43 | 5000 | 0.4753          | 23.4531 |
+
+
+### Framework versions
+
+- Transformers 4.26.0.dev0
+- Pytorch 1.13.1+cu117
+- Datasets 2.7.1
+- Tokenizers 0.13.2

run.log

@@ -1932,3 +1932,10 @@ Rank: 0 partition count [1] and sizes[(763857920, False)]
 [2022-12-20 10:03:22,658] [INFO] [engine.py:3020:_get_all_zero_checkpoint_state_dicts] successfully read 1 ZeRO state_dicts for rank 0
 [2022-12-20 10:03:23,547] [INFO] [engine.py:2960:_load_zero_checkpoint] loading 1 zero partition checkpoints for rank 0
 {'train_runtime': 79780.349, 'train_samples_per_second': 4.011, 'train_steps_per_second': 0.063, 'train_loss': 0.011088945543766021, 'epoch': 71.43}
+12/20/2022 10:07:05 - WARNING - huggingface_hub.repository - Several commits (2) will be pushed upstream.
+12/20/2022 10:07:05 - WARNING - huggingface_hub.repository - The progress bars may be unreliable.
+12/20/2022 10:07:16 - WARNING - huggingface_hub.repository - remote: Scanning LFS files for validity, may be slow...        
+remote: LFS file scan complete.        
+To https://huggingface.co/mikr/whisper-medium-sk-cv11
+   e9e481b..58795b4  main -> main
+