End of training

README.md

@@ -7,24 +7,9 @@ tags:
 - generated_from_trainer
 datasets:
 - PolyAI/minds14
-metrics:
-- wer
 model-index:
 - name: Whisper tiny
-  results:
-  - task:
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: minds14
-      type: PolyAI/minds14
-      config: en-US
-      split: train
-      args: en-US
-    metrics:
-    - name: Wer
-      type: wer
-      value: 32.88075560802833
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,9 +19,14 @@ 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 minds14 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6734
-- Wer Ortho: 32.6959
-- Wer: 32.8808
+- eval_loss: 0.5911
+- eval_wer_ortho: 0.3134
+- eval_wer: 0.3158
+- eval_runtime: 29.9977
+- eval_samples_per_second: 3.767
+- eval_steps_per_second: 0.5
+- epoch: 0.5
+- step: 28
 
 ## Model description
 
@@ -65,28 +55,6 @@ The following hyperparameters were used during training:
 - training_steps: 225
 - mixed_precision_training: Native AMP
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer     |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
-| 2.8035        | 0.25  | 14   | 0.7206          | 42.1345   | 40.4368 |
-| 0.5469        | 0.5   | 28   | 0.5327          | 36.0888   | 36.3046 |
-| 0.4968        | 0.75  | 42   | 0.5195          | 34.7933   | 34.7107 |
-| 0.5012        | 1.0   | 56   | 0.5551          | 33.5595   | 33.7072 |
-| 0.1879        | 1.25  | 70   | 0.5353          | 31.5854   | 31.4640 |
-| 0.239         | 1.5   | 84   | 0.5303          | 37.4460   | 40.6139 |
-| 0.2082        | 1.75  | 98   | 0.5565          | 31.0302   | 31.2279 |
-| 0.2244        | 2.0   | 112  | 0.5540          | 28.5626   | 28.6305 |
-| 0.0679        | 2.25  | 126  | 0.5759          | 28.5009   | 28.6305 |
-| 0.0637        | 2.5   | 140  | 0.6192          | 50.7094   | 54.0732 |
-| 0.072         | 2.75  | 154  | 0.6093          | 31.2770   | 30.9327 |
-| 0.0506        | 3.0   | 168  | 0.6302          | 35.2869   | 35.5372 |
-| 0.029         | 3.25  | 182  | 0.6299          | 33.4978   | 33.5891 |
-| 0.0405        | 3.5   | 196  | 0.6159          | 30.1049   | 30.4014 |
-| 0.022         | 3.75  | 210  | 0.6441          | 30.7218   | 30.9917 |
-| 0.0332        | 4.0   | 224  | 0.6734          | 32.6959   | 32.8808 |
-
-
 ### Framework versions
 
 - Transformers 4.40.2

model.safetensors

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