End of training

README.md

@@ -6,19 +6,19 @@ tags:
 metrics:
 - wer
 model-index:
-- name: small-Cotrsc
+- name: Whisper-opus
   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. -->
 
-# small-Cotrsc
+# Whisper-opus
 
 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: 0.0196
-- Wer: 19.7923
+- Loss: 0.0113
+- Wer: 74.0448
 
 ## Model description
 
@@ -37,23 +37,24 @@ 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
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- training_steps: 1200
+- training_steps: 2000
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:-------:|
-| 0.0186        | 0.1634 | 400  | 0.0212          | 21.7574 |
-| 0.0206        | 0.3268 | 800  | 0.0209          | 21.5890 |
-| 0.0206        | 0.4902 | 1200 | 0.0196          | 19.7923 |
+| 0.0173        | 0.3671 | 500  | 0.0139          | 70.8788 |
+| 0.0194        | 0.7342 | 1000 | 0.0130          | 48.4443 |
+| 0.0172        | 1.1013 | 1500 | 0.0119          | 56.8231 |
+| 0.0117        | 1.4684 | 2000 | 0.0113          | 74.0448 |
 
 
 ### Framework versions

generation_config.json

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 }

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