End of training

README.md

@@ -24,7 +24,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 736.4139693356047
+      value: 25.936967632027258
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,9 +34,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 13 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3656
-- Wer Ortho: 346.6232
-- Wer: 736.4140
+- Loss: 0.3707
+- Wer Ortho: 28.2066
+- Wer: 25.9370
 
 ## Model description
 
@@ -62,19 +62,24 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: constant_with_warmup
 - lr_scheduler_warmup_steps: 50
-- training_steps: 500
+- training_steps: 600
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss | Wer Ortho | Wer      |
-|:-------------:|:------:|:----:|:---------------:|:---------:|:--------:|
-| 0.0427        | 3.0675 | 500  | 0.3656          | 346.6232  | 736.4140 |
+| Training Loss | Epoch  | Step | Validation Loss | Wer Ortho | Wer     |
+|:-------------:|:------:|:----:|:---------------:|:---------:|:-------:|
+| 0.9497        | 0.6135 | 100  | 0.8683          | 37.6703   | 35.8745 |
+| 0.171         | 1.2270 | 200  | 0.3742          | 33.4847   | 31.2039 |
+| 0.1841        | 1.8405 | 300  | 0.3407          | 31.0585   | 28.7337 |
+| 0.0592        | 2.4540 | 400  | 0.3492          | 29.5545   | 27.1153 |
+| 0.0434        | 3.0675 | 500  | 0.3624          | 29.7106   | 27.2572 |
+| 0.027         | 3.6810 | 600  | 0.3707          | 28.2066   | 25.9370 |
 
 
 ### Framework versions
 
-- Transformers 4.41.0
+- Transformers 4.41.1
 - Pytorch 2.3.0+cu121
 - Datasets 2.19.1
 - Tokenizers 0.19.1

generation_config.json

@@ -260,5 +260,5 @@
     "transcribe": 50359,
     "translate": 50358
   },
-  "transformers_version": "4.41.0"
+  "transformers_version": "4.41.1"
 }