End of training

README.md

@@ -1,4 +1,5 @@
 ---
+library_name: transformers
 language:
 - mr
 license: apache-2.0
@@ -34,7 +35,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Common Voice 13 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 4.3651
+- Loss: 3.8602
 - Wer Ortho: 10.0
 - Wer: 10.0
 
@@ -69,12 +70,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer Ortho | Wer  |
 |:-------------:|:------:|:----:|:---------------:|:---------:|:----:|
-| 5.9704        | 0.1994 | 200  | 4.3651          | 10.0      | 10.0 |
+| 4.1359        | 0.1994 | 200  | 3.8602          | 10.0      | 10.0 |
 
 
 ### Framework versions
 
-- Transformers 4.42.4
-- Pytorch 2.3.1+cu121
-- Datasets 2.20.0
+- Transformers 4.44.2
+- Pytorch 2.4.0+cu121
+- Datasets 2.21.0
 - Tokenizers 0.19.1

generation_config.json

@@ -244,5 +244,5 @@
     "transcribe": 50359,
     "translate": 50358
   },
-  "transformers_version": "4.42.4"
+  "transformers_version": "4.44.2"
 }