End of training

README.md

@@ -20,8 +20,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.2775
-- Wer: 48.1901
+- Loss: 1.2382
+- Wer: 66.6973
 
 ## Model description
 
@@ -54,7 +54,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer     |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.5207        | 1.0   | 50   | 1.2775          | 48.1901 |
+| 0.5161        | 1.0   | 50   | 1.2382          | 66.6973 |
 
 
 ### Framework versions

adapter_config.json

@@ -26,12 +26,12 @@
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     "lm_head",
-    "embed_tokens",
     "q_proj",
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+    "k_proj",
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   ],
   "task_type": null,
   "use_dora": false,

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added_tokens.json

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+  "yaya papaya": 51880
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tokenizer_config.json

@@ -12891,7 +12891,7 @@
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@@ -12899,7 +12899,7 @@
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