End of training

README.md

@@ -24,7 +24,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 13.391580619539317
+      value: 14.757744241461475
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,8 +34,8 @@ 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 Chinese English dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3072
-- Wer: 13.3916
+- Loss: 0.3703
+- Wer: 14.7577
 
 ## Model description
 
@@ -61,14 +61,15 @@ The following hyperparameters were used during training:
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- training_steps: 2000
+- training_steps: 3000
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:-------:|
-| 0.1226        | 1.2837 | 1000 | 0.3157          | 14.2653 |
-| 0.059         | 2.5674 | 2000 | 0.3072          | 13.3916 |
+| 0.0154        | 1.2837 | 1000 | 0.3491          | 14.8054 |
+| 0.0152        | 2.5674 | 2000 | 0.3584          | 14.4083 |
+| 0.0017        | 3.8511 | 3000 | 0.3703          | 14.7577 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:276be6848167a6f9db6f2271e22829755db9fbbfd3cd518ebdeca8fb6b6c3edf
 size 151061672