End of training

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Bleu
       type: bleu
-      value: 0.0
+      value: 34.50306363991838
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,8 +33,8 @@ 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 11.0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9097
-- Bleu: 0.0
+- Loss: 0.9100
+- Bleu: 34.5031
 
 ## Model description
 
@@ -65,10 +65,10 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Bleu |
-|:-------------:|:-----:|:----:|:---------------:|:----:|
-| 0.9409        | 0.97  | 1000 | 0.9647          | 0.0  |
-| 0.8555        | 1.94  | 2000 | 0.9097          | 0.0  |
+| Training Loss | Epoch | Step | Validation Loss | Bleu    |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.941         | 0.97  | 1000 | 0.9651          | 32.9342 |
+| 0.8558        | 1.94  | 2000 | 0.9100          | 34.5031 |
 
 
 ### Framework versions

config.json

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   "init_std": 0.02,
   "is_encoder_decoder": true,
   "mask_feature_length": 10,

generation_config.json

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   "is_multilingual": true,

model.safetensors

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runs/Dec15_01-37-26_DESKTOP-55SSI0O/events.out.tfevents.1702575448.DESKTOP-55SSI0O

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training_args.bin

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