update model card README.md

README.md

@@ -1,8 +1,6 @@
 ---
 license: apache-2.0
 tags:
-- automatic-speech-recognition
-- gary109/AI_Light_Dance
 - generated_from_trainer
 model-index:
 - name: ai-light-dance_singing3_ft_wav2vec2-large-xlsr-53-v1
@@ -14,10 +12,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # ai-light-dance_singing3_ft_wav2vec2-large-xlsr-53-v1
 
-This model is a fine-tuned version of [gary109/ai-light-dance_singing3_ft_wav2vec2-large-xlsr-53-v1](https://huggingface.co/gary109/ai-light-dance_singing3_ft_wav2vec2-large-xlsr-53-v1) on the GARY109/AI_LIGHT_DANCE - ONSET-SINGING3 dataset.
+This model is a fine-tuned version of [gary109/ai-light-dance_singing3_ft_wav2vec2-large-xlsr-53-v1](https://huggingface.co/gary109/ai-light-dance_singing3_ft_wav2vec2-large-xlsr-53-v1) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6777
-- Wer: 0.4204
+- Loss: 0.6009
+- Wer: 0.3386
 
 ## Model description
 
@@ -40,28 +38,36 @@ The following hyperparameters were used during training:
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
-- gradient_accumulation_steps: 8
-- total_train_batch_size: 64
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 50
-- num_epochs: 10.0
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 20.0
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer    |
-|:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.6227        | 1.0   | 72   | 0.7283          | 0.4659 |
-| 0.6027        | 2.0   | 144  | 0.7168          | 0.4428 |
-| 0.5973        | 3.0   | 216  | 0.7061          | 0.4313 |
-| 0.5773        | 4.0   | 288  | 0.7068          | 0.4336 |
-| 0.5965        | 5.0   | 360  | 0.7038          | 0.4340 |
-| 0.5854        | 6.0   | 432  | 0.7054          | 0.4309 |
-| 0.5832        | 7.0   | 504  | 0.6990          | 0.4253 |
-| 0.5968        | 8.0   | 576  | 0.6988          | 0.4232 |
-| 0.5895        | 9.0   | 648  | 0.6867          | 0.4222 |
-| 0.6378        | 10.0  | 720  | 0.6777          | 0.4204 |
+| Training Loss | Epoch | Step  | Validation Loss | Wer    |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|
+| 0.6364        | 1.0   | 578   | 0.6806          | 0.4167 |
+| 0.6466        | 2.0   | 1156  | 0.7114          | 0.4238 |
+| 0.6371        | 3.0   | 1734  | 0.7033          | 0.4318 |
+| 0.7171        | 4.0   | 2312  | 0.6488          | 0.3970 |
+| 0.6228        | 5.0   | 2890  | 0.6369          | 0.3858 |
+| 0.6004        | 6.0   | 3468  | 0.6313          | 0.4088 |
+| 0.6074        | 7.0   | 4046  | 0.6295          | 0.3794 |
+| 0.6075        | 8.0   | 4624  | 0.6280          | 0.3692 |
+| 0.5936        | 9.0   | 5202  | 0.6201          | 0.3648 |
+| 0.5737        | 10.0  | 5780  | 0.6289          | 0.3512 |
+| 0.5711        | 11.0  | 6358  | 0.6288          | 0.3545 |
+| 0.5617        | 12.0  | 6936  | 0.6308          | 0.3662 |
+| 0.5796        | 13.0  | 7514  | 0.6088          | 0.3546 |
+| 0.5401        | 14.0  | 8092  | 0.6190          | 0.3488 |
+| 0.5137        | 15.0  | 8670  | 0.6050          | 0.3397 |
+| 0.5038        | 16.0  | 9248  | 0.6019          | 0.3414 |
+| 0.5303        | 17.0  | 9826  | 0.6061          | 0.3456 |
+| 0.5401        | 18.0  | 10404 | 0.6051          | 0.3410 |
+| 0.5394        | 19.0  | 10982 | 0.6061          | 0.3399 |
+| 0.4707        | 20.0  | 11560 | 0.6009          | 0.3386 |
 
 
 ### Framework versions