End of training

README.md

@@ -9,22 +9,9 @@ tags:
 - generated_from_trainer
 datasets:
 - Chinese_english
-metrics:
-- wer
 model-index:
 - name: Whisper tiny Chinese
-  results:
-  - task:
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: Chinese English
-      type: Chinese_english
-      args: 'config: default, split: test'
-    metrics:
-    - name: Wer
-      type: wer
-      value: 16.25099285146942
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,8 +21,13 @@ 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 Chinese English dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3791
-- Wer: 16.2510
+- eval_loss: 0.3913
+- eval_wer: 18.9357
+- eval_runtime: 202.5849
+- eval_samples_per_second: 3.105
+- eval_steps_per_second: 3.105
+- epoch: 3.3333
+- step: 1000
 
 ## Model description
 
@@ -63,15 +55,6 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_steps: 500
 - training_steps: 1500
 
-### Training results
-
-| Training Loss | Epoch  | Step | Validation Loss | Wer     |
-|:-------------:|:------:|:----:|:---------------:|:-------:|
-| 0.2319        | 1.6667 | 500  | 0.3592          | 17.0135 |
-| 0.0139        | 3.3333 | 1000 | 0.3708          | 16.2192 |
-| 0.0067        | 5.0    | 1500 | 0.3791          | 16.2510 |
-
-
 ### Framework versions
 
 - Transformers 4.49.0

model.safetensors

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runs/Apr15_17-03-14_a0636339e4de/events.out.tfevents.1744736628.a0636339e4de.377.2

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