Model save

README.md

@@ -17,7 +17,7 @@ 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 None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.2835
+- Loss: 2.2916
 - Wer: 93.6170
 
 ## Model description
@@ -51,15 +51,15 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:-------:|
-| 0.0           | 1000.0 | 1000 | 1.2199          | 70.2128 |
-| 0.0           | 2000.0 | 2000 | 1.8232          | 89.3617 |
-| 0.0           | 3000.0 | 3000 | 2.1108          | 91.4894 |
-| 0.0           | 4000.0 | 4000 | 2.2835          | 93.6170 |
+| 0.0           | 1000.0 | 1000 | 1.2180          | 70.2128 |
+| 0.0           | 2000.0 | 2000 | 1.8218          | 89.3617 |
+| 0.0           | 3000.0 | 3000 | 2.1168          | 91.4894 |
+| 0.0           | 4000.0 | 4000 | 2.2916          | 93.6170 |
 
 
 ### 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

@@ -251,5 +251,5 @@
     "transcribe": 50359,
     "translate": 50358
   },
-  "transformers_version": "4.41.0"
+  "transformers_version": "4.41.1"
 }

model.safetensors

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runs/May22_23-06-54_8c4016be655d/events.out.tfevents.1716419254.8c4016be655d.633.0

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