Training in progress, step 1000

README.md

@@ -3,8 +3,6 @@ license: apache-2.0
 base_model: openai/whisper-small
 tags:
 - generated_from_trainer
-metrics:
-- wer
 model-index:
 - name: names-whisper-en-spectrogram-pitch-shifted
   results: []
@@ -16,10 +14,6 @@ should probably proofread and complete it, then remove this comment. -->
 # names-whisper-en-spectrogram-pitch-shifted
 
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.0411
-- Ner percent: 96.9320
-- Wer: 1.0079
 
 ## Model description
 
@@ -48,17 +42,6 @@ The following hyperparameters were used during training:
 - training_steps: 5000
 - mixed_precision_training: Native AMP
 
-### Training results
-
-| Training Loss | Epoch   | Step | Validation Loss | Ner percent | Wer    |
-|:-------------:|:-------:|:----:|:---------------:|:-----------:|:------:|
-| 0.0031        | 5.0251  | 1000 | 0.0344          | 97.7612     | 0.9847 |
-| 0.0005        | 10.0503 | 2000 | 0.0378          | 98.1758     | 1.0013 |
-| 0.0003        | 15.0754 | 3000 | 0.0394          | 96.9320     | 0.9980 |
-| 0.0002        | 20.1005 | 4000 | 0.0406          | 96.9320     | 1.0112 |
-| 0.0002        | 25.1256 | 5000 | 0.0411          | 96.9320     | 1.0079 |
-
-
 ### Framework versions
 
 - Transformers 4.40.1

config.json

@@ -145,7 +145,7 @@
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   "use_cache": true,
   "use_weighted_layer_sum": false,
   "vocab_size": 51865

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