End of training

README.md

@@ -24,7 +24,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 16.25099285146942
+      value: 16.64813343923749
 ---
 
 <!-- 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: 0.3512
-- Wer: 16.2510
+- Loss: 0.3973
+- Wer: 16.6481
 
 ## Model description
 
@@ -57,18 +57,19 @@ The following hyperparameters were used during training:
 - learning_rate: 1e-05
 - train_batch_size: 2
 - eval_batch_size: 1
-- seed: 43
+- seed: 44
 - 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: 1000
+- training_steps: 1500
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:-------:|
-| 0.2231        | 1.6667 | 500  | 0.3612          | 16.9976 |
-| 0.0141        | 3.3333 | 1000 | 0.3512          | 16.2510 |
+| 0.027         | 1.6667 | 500  | 0.3876          | 16.6481 |
+| 0.0046        | 3.3333 | 1000 | 0.3926          | 16.5528 |
+| 0.0006        | 5.0    | 1500 | 0.3973          | 16.6481 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:51f19d71615f0f4d504d85383229b2cbb8dfbf0a8a214c191f3c01443b502a08
+oid sha256:861a2e50cf3ad646d26ee37e4aed5601b73a62c04aea1fda545cc58093433b5e
 size 151061672