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-small
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: common_voice_11_0
+      type: common_voice_11_0
+      config: ro
+      split: test
+      args: ro
+    metrics:
+    - name: Wer
+      type: wer
+      value: 17.804826268487723
+---
+
+<!-- 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-small
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the common_voice_11_0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3428
+- Wer: 17.8048
+
+## 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     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.0046        | 8.01  | 1000 | 0.2808          | 17.5713 |
+| 0.0006        | 17.01 | 2000 | 0.3091          | 17.6916 |
+| 0.0003        | 25.02 | 3000 | 0.3267          | 17.6881 |
+| 0.0002        | 34.01 | 4000 | 0.3381          | 17.7977 |
+| 0.0002        | 43.0  | 5000 | 0.3428          | 17.8048 |
+
+
+### Framework versions
+
+- Transformers 4.26.0.dev0
+- Pytorch 1.13.1+cu117
+- Datasets 2.7.1
+- Tokenizers 0.13.2

run.log

@@ -1868,3 +1868,10 @@ Rank: 0 partition count [1] and sizes[(241734912, False)]
 [2022-12-19 10:32:51,167] [INFO] [engine.py:3020:_get_all_zero_checkpoint_state_dicts] successfully read 1 ZeRO state_dicts for rank 0
 [2022-12-19 10:32:51,519] [INFO] [engine.py:2960:_load_zero_checkpoint] loading 1 zero partition checkpoints for rank 0
 {'train_runtime': 93041.5511, 'train_samples_per_second': 3.439, 'train_steps_per_second': 0.054, 'train_loss': 0.01692909588813782, 'epoch': 43.0}
+12/19/2022 10:34:29 - WARNING - huggingface_hub.repository - Several commits (2) will be pushed upstream.
+12/19/2022 10:34:29 - WARNING - huggingface_hub.repository - The progress bars may be unreliable.
+12/19/2022 10:34:38 - WARNING - huggingface_hub.repository - remote: Scanning LFS files for validity, may be slow...        
+remote: LFS file scan complete.        
+To https://huggingface.co/mikr/whisper-small-ro-cv11
+   9101f9e..50c3b81  main -> main
+