update model card README.md

README.md

@@ -0,0 +1,81 @@
+---
+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: it
+      split: test
+      args: it
+    metrics:
+    - name: Wer
+      type: wer
+      value: 12.502657877950243
+---
+
+<!-- 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: 0.2698
+- Wer: 12.5027
+
+## 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: 8e-06
+- train_batch_size: 64
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 6000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.2737        | 2.01  | 1000 | 0.2728          | 13.4097 |
+| 0.1536        | 4.02  | 2000 | 0.2611          | 12.9897 |
+| 0.0905        | 6.03  | 3000 | 0.2686          | 12.9273 |
+| 0.1301        | 8.04  | 4000 | 0.2534          | 12.3040 |
+| 0.096         | 10.05 | 5000 | 0.2727          | 12.6130 |
+| 0.0604        | 12.06 | 6000 | 0.2698          | 12.5027 |
+
+
+### Framework versions
+
+- Transformers 4.26.0.dev0
+- Pytorch 1.13.0+cu117
+- Datasets 2.7.1.dev0
+- Tokenizers 0.13.2

log

@@ -33745,3 +33745,20 @@ Training completed. Do not forget to share your model on huggingface.co/models =
 [INFO|configuration_utils.py:447] 2022-12-15 17:20:48,112 >> Configuration saved in ./config.json
 [INFO|modeling_utils.py:1680] 2022-12-15 17:20:49,374 >> Model weights saved in ./pytorch_model.bin
 [INFO|feature_extraction_utils.py:368] 2022-12-15 17:20:49,390 >> Feature extractor saved in ./preprocessor_config.json
+Several commits (2) will be pushed upstream.
+{'eval_loss': 0.26977524161338806, 'eval_wer': 12.502657877950243, 'eval_runtime': 5061.9846, 'eval_samples_per_second': 2.964, 'eval_steps_per_second': 0.093, 'epoch': 12.06}
+{'train_runtime': 84190.0984, 'train_samples_per_second': 4.561, 'train_steps_per_second': 0.071, 'train_loss': 0.1507516227165858, 'epoch': 12.06}
+12/15/2022 17:21:21 - WARNING - huggingface_hub.repository - Several commits (2) will be pushed upstream.
+The progress bars may be unreliable.
+12/15/2022 17:21:21 - WARNING - huggingface_hub.repository - The progress bars may be unreliable.
+
+remote: LFS file scan complete.        
+To https://huggingface.co/nefasto/whisper-small-it
+   1875cbe..950168c  main -> main
+
+12/15/2022 17:21:26 - WARNING - huggingface_hub.repository - remote: Scanning LFS files for validity, may be slow...        
+remote: LFS file scan complete.        
+To https://huggingface.co/nefasto/whisper-small-it
+   1875cbe..950168c  main -> main
+
+