End of training

README.md

@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the common_voice_16_1 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.0642
+- Loss: 0.1253
 
 ## Model description
 
@@ -51,16 +51,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 6.5065        | 1.0   | 1    | 5.8581          |
-| 6.9782        | 2.0   | 2    | 5.3557          |
-| 5.8666        | 3.0   | 3    | 4.5343          |
-| 4.6367        | 4.0   | 4    | 3.9887          |
-| 4.0018        | 5.0   | 5    | 3.6462          |
-| 3.6299        | 6.0   | 6    | 3.4259          |
-| 3.5384        | 7.0   | 7    | 3.2591          |
-| 3.4859        | 8.0   | 8    | 3.1552          |
-| 3.3513        | 9.0   | 9    | 3.0924          |
-| 3.3222        | 10.0  | 10   | 3.0642          |
+| 4.2703        | 1.0   | 56   | 2.2818          |
+| 1.602         | 2.0   | 112  | 0.6618          |
+| 0.3079        | 3.0   | 168  | 0.1281          |
+| 0.1397        | 4.0   | 224  | 0.1231          |
+| 0.1213        | 5.0   | 280  | 0.1214          |
+| 0.1084        | 6.0   | 336  | 0.1225          |
+| 0.0983        | 7.0   | 392  | 0.1239          |
+| 0.0918        | 8.0   | 448  | 0.1237          |
+| 0.0862        | 9.0   | 504  | 0.1248          |
+| 0.0824        | 10.0  | 560  | 0.1253          |
 
 
 ### Framework versions

adapter_model.safetensors

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 size 7918280

training_args.bin

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 size 5496