End of training

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 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: 0.9588
-- Wer: 68.2830
+- Loss: 0.9448
+- Wer: 61.1351
 
 ## Model description
 
@@ -43,20 +43,20 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 50
-- training_steps: 100
+- lr_scheduler_warmup_steps: 500
+- training_steps: 500
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:-------:|
-| 0.213         | 0.1453 | 100  | 0.9588          | 68.2830 |
+| 0.2996        | 0.7267 | 500  | 0.9448          | 61.1351 |
 
 
 ### Framework versions
 
-- Transformers 4.40.2
-- Pytorch 2.2.1+cu121
+- Transformers 4.41.1
+- Pytorch 2.3.0+cu121
 - Datasets 2.19.1
 - Tokenizers 0.19.1

generation_config.json

@@ -253,5 +253,5 @@
     "transcribe": 50359,
     "translate": 50358
   },
-  "transformers_version": "4.40.2"
+  "transformers_version": "4.41.1"
 }