update model card README.md

README.md

@@ -1,53 +1,23 @@
 ---
-language:
-- es
 license: apache-2.0
 tags:
-- whisper-event
 - generated_from_trainer
-datasets:
-- mozilla-foundation/common_voice_11_0
 metrics:
 - wer
 model-index:
-- name: Whisper Small Spanish
-  results:
-  - task:
-      type: automatic-speech-recognition
-      name: Automatic Speech Recognition
-    dataset:
-      name: mozilla-foundation/common_voice_11_0 es
-      type: mozilla-foundation/common_voice_11_0
-      config: es
-      split: test
-      args: es
-    metrics:
-    - type: wer
-      value: 8.261654799646587
-      name: Wer
-  - task:
-      type: automatic-speech-recognition
-      name: Automatic Speech Recognition
-    dataset:
-      name: rishabhjain16/test_asr
-      type: rishabhjain16/test_asr
-      config: en
-      split: test
-    metrics:
-    - type: wer
-      value: 70.37
-      name: WER
+- name: openai/whisper-small
+  results: []
 ---
 
 <!-- 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 Spanish
+# 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 es dataset.
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2296
-- Wer: 8.2617
+- Loss: 0.5636
+- Wer: 13.4646
 
 ## Model description
 
@@ -73,23 +43,22 @@ The following hyperparameters were used during training:
 - 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_steps: 4000
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer    |
-|:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.1638        | 2.01  | 1000 | 0.2399          | 9.1595 |
-| 0.1109        | 4.01  | 2000 | 0.2485          | 9.7091 |
-| 0.2115        | 6.02  | 3000 | 0.2289          | 8.9126 |
-| 0.104         | 8.02  | 4000 | 0.2276          | 8.3019 |
-| 0.0444        | 10.03 | 5000 | 0.2296          | 8.2617 |
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.1789        | 4.02  | 1000 | 0.3421          | 13.1199 |
+| 0.0264        | 8.04  | 2000 | 0.4579          | 13.5155 |
+| 0.0023        | 13.01 | 3000 | 0.5479          | 13.6539 |
+| 0.0011        | 17.03 | 4000 | 0.5636          | 13.4646 |
 
 
 ### Framework versions
 
 - Transformers 4.27.0.dev0
-- Pytorch 1.13.0+cu117
+- Pytorch 1.13.1+cu117
 - Datasets 2.8.1.dev0
-- Tokenizers 0.13.2
+- Tokenizers 0.12.1