Simonom/uzbek-stt-v2-3k-data

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_14_0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3179
+- Loss: 0.3163
 
 ## Model description
 
@@ -51,8 +51,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss |
 |:-------------:|:-----:|:-----:|:---------------:|
-| 0.5139        | 1.0   | 15112 | 0.4203          |
-| 0.268         | 2.0   | 30224 | 0.3179          |
+| 0.4935        | 1.0   | 15112 | 0.4271          |
+| 0.2662        | 2.0   | 30224 | 0.3163          |
 
 
 ### Framework versions

adapter_config.json

@@ -23,8 +23,8 @@
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   "use_dora": false,

adapter_model.safetensors

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runs/Jun09_06-10-35_f53a2f58620e/events.out.tfevents.1717913436.f53a2f58620e.1229.0

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training_args.bin

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