End of training

README.md

@@ -8,24 +8,9 @@ tags:
 - generated_from_trainer
 datasets:
 - AlisaMaid/aidc_test
-metrics:
-- wer
 model-index:
 - name: Whisper Small Lo - Alisa
-  results:
-  - task:
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: AIDC Test
-      type: AlisaMaid/aidc_test
-      config: default
-      split: None
-      args: 'config: lo, split: test'
-    metrics:
-    - name: Wer
-      type: wer
-      value: 235.96491228070175
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,9 +19,6 @@ should probably proofread and complete it, then remove this comment. -->
 # Whisper Small Lo - Alisa
 
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the AIDC Test dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.0002
-- Wer: 235.9649
 
 ## Model description
 
@@ -65,17 +47,6 @@ The following hyperparameters were used during training:
 - training_steps: 1000
 - mixed_precision_training: Native AMP
 
-### Training results
-
-| Training Loss | Epoch   | Step | Validation Loss | Wer      |
-|:-------------:|:-------:|:----:|:---------------:|:--------:|
-| 0.1213        | 18.1818 | 200  | 0.0821          | 247.2953 |
-| 0.0031        | 36.3636 | 400  | 0.0021          | 318.8596 |
-| 0.0003        | 54.5455 | 600  | 0.0003          | 322.3684 |
-| 0.0002        | 72.7273 | 800  | 0.0002          | 263.5234 |
-| 0.0002        | 90.9091 | 1000 | 0.0002          | 235.9649 |
-
-
 ### Framework versions
 
 - Transformers 4.45.2

model.safetensors

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