Model save

README.md

@@ -1,6 +1,4 @@
 ---
-license: apache-2.0
-base_model: openai/whisper-tiny
 tags:
 - generated_from_trainer
 metrics:
@@ -15,10 +13,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # whisper-tiny-hi2
 
-This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset.
+This model was trained from scratch on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4570
-- Wer: 56.4146
+- Loss: 0.4554
+- Wer: 56.1182
 
 ## Model description
 
@@ -37,13 +35,12 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 7.8e-06
+- learning_rate: 7.8e-08
 - train_batch_size: 32
 - eval_batch_size: 1
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 100
 - training_steps: 500
 - mixed_precision_training: Native AMP
 
@@ -51,8 +48,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer     |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 1.1707        | 1.0   | 250  | 0.5200          | 61.5717 |
-| 0.4608        | 2.0   | 500  | 0.4570          | 56.4146 |
+| 0.4285        | 1.0   | 250  | 0.4558          | 56.3045 |
+| 0.4273        | 2.0   | 500  | 0.4554          | 56.1182 |
 
 
 ### Framework versions