Update README.md

README.md

@@ -32,9 +32,7 @@ should probably proofread and complete it, then remove this comment. -->
 # whisper-tiny-tel-tam
 
 This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Speech Commands dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.1934
-- Accuracy: 0.9773
+
 
 ## Model description
 
@@ -48,34 +46,7 @@ More information needed
 
 More information needed
 
-## Training procedure
-
-### Training hyperparameters
-
-The following hyperparameters were used during training:
-- learning_rate: 5e-05
-- train_batch_size: 2
-- eval_batch_size: 2
-- seed: 42
-- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
-- lr_scheduler_type: linear
-- lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 10
-
-### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.7009        | 1.0   | 175  | 0.9922          | 0.5227   |
-| 0.024         | 2.0   | 350  | 0.2727          | 0.9091   |
-| 0.4103        | 3.0   | 525  | 0.0223          | 1.0      |
-| 0.0008        | 4.0   | 700  | 0.1908          | 0.9773   |
-| 0.0005        | 5.0   | 875  | 0.1802          | 0.9773   |
-| 0.0005        | 6.0   | 1050 | 0.1826          | 0.9773   |
-| 0.0003        | 7.0   | 1225 | 0.1868          | 0.9773   |
-| 0.0002        | 8.0   | 1400 | 0.1904          | 0.9773   |
-| 0.0003        | 9.0   | 1575 | 0.1925          | 0.9773   |
-| 0.0002        | 10.0  | 1750 | 0.1934          | 0.9773   |
 
 
 ### Framework versions