update model card README.md

README.md

@@ -1,41 +1,38 @@
 ---
-language:
-- eu
 license: apache-2.0
 tags:
-- whisper-event
 - generated_from_trainer
 datasets:
-- mozilla-foundation/common_voice_11_0
+- common_voice_13_0
 metrics:
 - wer
 model-index:
-- name: Whisper Small Basque
+- name: openai/whisper-small
   results:
   - task:
       name: Automatic Speech Recognition
       type: automatic-speech-recognition
     dataset:
-      name: mozilla-foundation/common_voice_11_0 eu
-      type: mozilla-foundation/common_voice_11_0
+      name: common_voice_13_0
+      type: common_voice_13_0
       config: eu
       split: test
       args: eu
     metrics:
     - name: Wer
       type: wer
-      value: 18.933718752544582
+      value: 18.83024828871157
 ---
 
 <!-- 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. -->
 
-# Whisper Small Basque
+# openai/whisper-small
 
-This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the mozilla-foundation/common_voice_11_0 eu dataset.
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the common_voice_13_0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3580
-- Wer: 18.9337
+- Loss: 0.3914
+- Wer: 18.8302
 
 ## Model description
 
@@ -43,7 +40,7 @@ More information needed
 
 ## Intended uses & limitations
 
-If you need to use this model with [whisper.cpp](https://github.com/ggerganov/whisper.cpp), you can download the ggml file: [ggml-small-eu.bin](https://huggingface.co/xezpeleta/whisper-small-eu-v2/blob/main/ggml-small.eu.bin)
+More information needed
 
 ## Training and evaluation data
 
@@ -68,11 +65,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer     |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.1372        | 2.04  | 1000 | 0.3166          | 22.2335 |
-| 0.0175        | 4.07  | 2000 | 0.3356          | 19.9862 |
-| 0.0055        | 7.02  | 3000 | 0.3580          | 18.9337 |
-| 0.0015        | 9.06  | 4000 | 0.3803          | 18.9581 |
-| 0.0013        | 12.01 | 5000 | 0.3908          | 18.9541 |
+| 0.1413        | 2.04  | 1000 | 0.3178          | 22.0139 |
+| 0.0181        | 4.07  | 2000 | 0.3376          | 20.2864 |
+| 0.0044        | 7.02  | 3000 | 0.3603          | 18.8768 |
+| 0.0016        | 9.06  | 4000 | 0.3812          | 18.7756 |
+| 0.0012        | 12.01 | 5000 | 0.3914          | 18.8302 |
 
 
 ### Framework versions

nohup.out

@@ -33917,3 +33917,21 @@ Training completed. Do not forget to share your model on huggingface.co/models =
 [INFO|configuration_utils.py:447] 2023-07-20 18:46:21,343 >> Configuration saved in ./config.json
 [INFO|modeling_utils.py:1693] 2023-07-20 18:46:22,695 >> Model weights saved in ./pytorch_model.bin
 [INFO|feature_extraction_utils.py:368] 2023-07-20 18:46:22,710 >> Feature extractor saved in ./preprocessor_config.json
+Several commits (2) will be pushed upstream.
+{'eval_loss': 0.3913772702217102, 'eval_wer': 18.83024828871157, 'eval_runtime': 973.2149, 'eval_samples_per_second': 6.772, 'eval_steps_per_second': 0.423, 'epoch': 12.01}
+{'train_runtime': 27653.1068, 'train_samples_per_second': 5.786, 'train_steps_per_second': 0.181, 'train_loss': 0.106446673027426, 'epoch': 12.01}
+07/20/2023 18:46:51 - WARNING - huggingface_hub.repository - Several commits (2) will be pushed upstream.
+The progress bars may be unreliable.
+07/20/2023 18:46:51 - WARNING - huggingface_hub.repository - The progress bars may be unreliable.
+
+
+
+
+   eb496bd..9ecd845  main -> main
+
+07/20/2023 19:08:06 - WARNING - huggingface_hub.repository - To https://huggingface.co/xezpeleta/whisper-small-eu-v2
+   eb496bd..9ecd845  main -> main
+
+
+
+