End of training

README.md

@@ -6,19 +6,19 @@ tags:
 metrics:
 - wer
 model-index:
-- name: Whisper-opus
+- name: opus-base
   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-opus
+# opus-base
 
 This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0261
-- Wer: 21.3881
+- Loss: 0.0177
+- Wer: 14.6250
 
 ## Model description
 
@@ -37,8 +37,8 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-05
-- train_batch_size: 12
+- learning_rate: 2e-05
+- train_batch_size: 24
 - eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
@@ -51,10 +51,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:-------:|
-| 0.0321        | 0.2040 | 500  | 0.0300          | 24.1575 |
-| 0.0335        | 0.4080 | 1000 | 0.0287          | 22.7227 |
-| 0.0326        | 0.6120 | 1500 | 0.0272          | 21.8218 |
-| 0.0293        | 0.8160 | 2000 | 0.0261          | 21.3881 |
+| 0.0281        | 0.4075 | 500  | 0.0224          | 18.3943 |
+| 0.0292        | 0.8150 | 1000 | 0.0209          | 17.6027 |
+| 0.0241        | 1.2225 | 1500 | 0.0188          | 15.7181 |
+| 0.0197        | 1.6300 | 2000 | 0.0177          | 14.6250 |
 
 
 ### Framework versions