update model card README.md

README.md

@@ -2,7 +2,6 @@
 license: apache-2.0
 tags:
 - generated_from_trainer
-- whisper-event
 metrics:
 - wer
 model-index:
@@ -15,9 +14,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # whisper-small-nl
 
-This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the [CGN dataset](https://taalmaterialen.ivdnt.org/download/tstc-corpus-gesproken-nederlands/).
+This model is a fine-tuned version of [qmeeus/whisper-small-nl](https://huggingface.co/qmeeus/whisper-small-nl) on the None dataset.
 It achieves the following results on the evaluation set:
-- Wer: 15.8367
+- Loss: 0.3034
+- Wer: 14.5354
 
 ## Model description
 
@@ -37,34 +37,31 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 1e-05
-- train_batch_size: 512
-- eval_batch_size: 64
+- train_batch_size: 8
+- eval_batch_size: 8
 - seed: 42
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 128
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 50
-- training_steps: 6000
+- lr_scheduler_warmup_steps: 500
+- training_steps: 10000
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer     |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.8378        | 0.1   | 100  | 0.4933          | 23.8827 |
-| 0.5547        | 0.2   | 200  | 0.4476          | 21.0578 |
-| 0.3905        | 0.3   | 300  | 0.4335          | 21.1689 |
-| 0.3766        | 0.4   | 400  | 0.4267          | 20.0528 |
-| 0.4164        | 0.5   | 500  | 0.4139          | 21.4329 |
-| 0.2939        | 0.6   | 600  | 0.3864          | 18.3671 |
-| 0.2632        | 0.7   | 700  | 0.3864          | 18.4319 |
-| 0.6066        | 0.8   | 800  | 0.3804          | 19.2748 |
-| 0.2075        | 1.09  | 900  | 0.3794          | 18.8904 |
-| 0.2102        | 1.19  | 1000 | 0.3777          | 19.8814 |
-| 0.2045        | 2.49  | 2000 | 0.3194          | 16.1628 |
-| 0.0652        | 4.97  | 3000 | 0.3425          | 16.3672 |
-| 0.0167        | 7.46  | 4000 | 0.3915          | 15.8187 |
-| 0.0064        | 9.95  | 5000 | 0.4190          | 15.7298 |
-| 0.0041        | 12.44 | 6000 | 0.4315          | 15.8367 |
+| Training Loss | Epoch | Step  | Validation Loss | Wer     |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|
+| 0.2045        | 2.49  | 1000  | 0.3194          | 16.1628 |
+| 0.0652        | 4.97  | 2000  | 0.3425          | 16.3672 |
+| 0.0167        | 7.46  | 3000  | 0.3915          | 15.8187 |
+| 0.0064        | 9.95  | 4000  | 0.4190          | 15.7298 |
+| 0.1966        | 2.02  | 5000  | 0.3298          | 15.0881 |
+| 0.1912        | 4.04  | 6000  | 0.3266          | 14.8764 |
+| 0.1008        | 7.02  | 7000  | 0.3261          | 14.8086 |
+| 0.0899        | 9.04  | 8000  | 0.3196          | 14.6487 |
+| 0.1126        | 12.02 | 9000  | 0.3283          | 14.5894 |
+| 0.1071        | 14.04 | 10000 | 0.3034          | 14.5354 |
 
 
 ### Framework versions