End of training

README.md

@@ -2,9 +2,9 @@
 language:
 - zh
 license: apache-2.0
+base_model: openai/whisper-tiny
 tags:
 - generated_from_trainer
-base_model: openai/whisper-tiny
 datasets:
 - mozilla-foundation/common_voice_16_1
 model-index:
@@ -19,9 +19,9 @@ 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 Common Voice 16.1 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8875
-- Cer Ortho: 39.1769
-- Cer: 34.5841
+- Loss: 0.6244
+- Cer Ortho: 28.9724
+- Cer: 24.2287
 
 ## Model description
 
@@ -40,29 +40,30 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-06
+- learning_rate: 0.0001
 - train_batch_size: 32
 - eval_batch_size: 32
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: constant_with_warmup
+- lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 25
-- training_steps: 900
+- training_steps: 6000
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss | Cer Ortho | Cer     |
 |:-------------:|:------:|:----:|:---------------:|:---------:|:-------:|
-| 1.6067        | 0.3333 | 100  | 1.4840          | 49.7371   | 40.9228 |
-| 1.0099        | 0.6667 | 200  | 1.0139          | 45.3472   | 38.0811 |
-| 0.9724        | 1.0    | 300  | 0.9706          | 43.6654   | 36.6319 |
-| 0.9177        | 1.3333 | 400  | 0.9467          | 42.6622   | 35.9347 |
-| 0.9162        | 1.6667 | 500  | 0.9307          | 38.8232   | 35.3765 |
-| 0.9149        | 2.0    | 600  | 0.9164          | 40.0758   | 35.0824 |
-| 0.8773        | 2.3333 | 700  | 0.9059          | 40.3793   | 34.8833 |
-| 0.8278        | 2.6667 | 800  | 0.8954          | 39.1189   | 34.6122 |
-| 0.8801        | 3.0    | 900  | 0.8875          | 39.1769   | 34.5841 |
+| 0.783         | 0.4796 | 600  | 0.7962          | 54.2372   | 31.6835 |
+| 0.6578        | 0.9592 | 1200 | 0.6968          | 32.3398   | 27.9872 |
+| 0.5028        | 1.4388 | 1800 | 0.6624          | 40.8123   | 27.6832 |
+| 0.4887        | 1.9185 | 2400 | 0.6265          | 31.8488   | 25.8712 |
+| 0.3368        | 2.3981 | 3000 | 0.6200          | 31.5221   | 25.3234 |
+| 0.3395        | 2.8777 | 3600 | 0.6106          | 38.9218   | 25.3534 |
+| 0.2078        | 3.3573 | 4200 | 0.6184          | 28.7037   | 24.7440 |
+| 0.1943        | 3.8369 | 4800 | 0.6139          | 32.2586   | 24.3287 |
+| 0.1206        | 4.3165 | 5400 | 0.6272          | 30.4763   | 24.2656 |
+| 0.102         | 4.7962 | 6000 | 0.6244          | 28.9724   | 24.2287 |
 
 
 ### Framework versions