End of training

README.md

@@ -32,8 +32,8 @@ 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 the PolyAI/minds14 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7229
-- Wer Ortho: 0.3263
+- Loss: 0.7236
+- Wer Ortho: 0.3270
 - Wer: 0.3282
 
 ## Model description
@@ -67,13 +67,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
-| 0.0006        | 17.86 | 500  | 0.6634          | 0.3270    | 0.3282 |
-| 0.0002        | 35.71 | 1000 | 0.7229          | 0.3263    | 0.3282 |
+| 0.0006        | 17.86 | 500  | 0.6651          | 0.3257    | 0.3264 |
+| 0.0002        | 35.71 | 1000 | 0.7236          | 0.3270    | 0.3282 |
 
 
 ### Framework versions
 
 - Transformers 4.38.1
 - Pytorch 2.1.0+cu121
-- Datasets 2.17.1
+- Datasets 2.18.0
 - Tokenizers 0.15.2

runs/Mar04_14-31-00_728f83ee7730/events.out.tfevents.1709562661.728f83ee7730.725.0

@@ -1,3 +1,3 @@
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+size 15887