update model card README.md

README.md

@@ -4,24 +4,9 @@ tags:
 - generated_from_trainer
 datasets:
 - fleurs
-metrics:
-- wer
 model-index:
 - name: openai/whisper-tiny
-  results:
-  - task:
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: fleurs
-      type: fleurs
-      config: en_us
-      split: validation
-      args: en_us
-    metrics:
-    - name: Wer
-      type: wer
-      value: 19.3465805193222
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,9 +15,6 @@ should probably proofread and complete it, then remove this comment. -->
 # openai/whisper-tiny
 
 This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the fleurs dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.5568
-- Wer: 19.3466
 
 ## Model description
 
@@ -52,31 +34,15 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 1e-05
-- train_batch_size: 64
-- eval_batch_size: 32
+- train_batch_size: 4
+- eval_batch_size: 2
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- lr_scheduler_warmup_ratio: 0.2
-- training_steps: 407
+- lr_scheduler_warmup_ratio: 0.5
+- training_steps: 2
 - mixed_precision_training: Native AMP
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Wer     |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 1.1599        | 0.1   | 40   | 1.1427          | 15.2139 |
-| 0.4655        | 1.1   | 80   | 0.5613          | 17.5911 |
-| 0.2753        | 2.09  | 120  | 0.5241          | 17.2132 |
-| 0.2077        | 3.09  | 160  | 0.5242          | 17.2620 |
-| 0.1636        | 4.09  | 200  | 0.5290          | 17.6643 |
-| 0.1322        | 5.09  | 240  | 0.5351          | 18.2128 |
-| 0.123         | 6.08  | 280  | 0.5429          | 18.9077 |
-| 0.1074        | 7.08  | 320  | 0.5500          | 19.0540 |
-| 0.1007        | 8.08  | 360  | 0.5553          | 19.3100 |
-| 0.0876        | 9.08  | 400  | 0.5568          | 19.3466 |
-
-
 ### Framework versions
 
 - Transformers 4.26.0.dev0