update model card README.md

README.md

@@ -2,8 +2,6 @@
 license: apache-2.0
 tags:
 - generated_from_trainer
-datasets:
-- common_voice_8_0
 model-index:
 - name: xls-r_cv_ur
   results: []
@@ -14,10 +12,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # xls-r_cv_ur
 
-This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the common_voice_8_0 dataset.
+This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8811
-- Wer: 0.5107
+- Loss: 0.5811
+- Wer: 1.0
 
 ## Model description
 
@@ -42,19 +40,31 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 1000
-- num_epochs: 30
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 20
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer    |
-|:-------------:|:-----:|:----:|:---------------:|:------:|
-| 6.9256        | 5.68  | 1000 | 2.9843          | 1.0    |
-| 1.4949        | 11.36 | 2000 | 0.9451          | 0.6099 |
-| 0.6673        | 17.05 | 3000 | 0.8527          | 0.5463 |
-| 0.4739        | 22.73 | 4000 | 0.8677          | 0.5215 |
-| 0.399         | 28.41 | 5000 | 0.8811          | 0.5107 |
+| Training Loss | Epoch | Step | Validation Loss | Wer |
+|:-------------:|:-----:|:----:|:---------------:|:---:|
+| 8.2414        | 1.14  | 100  | 2.2232          | 1.0 |
+| 1.9235        | 2.27  | 200  | 1.8280          | 1.0 |
+| 1.8174        | 3.41  | 300  | 1.8247          | 1.0 |
+| 1.8305        | 4.55  | 400  | 1.7873          | 1.0 |
+| 1.7604        | 5.68  | 500  | 1.7839          | 1.0 |
+| 1.7727        | 6.82  | 600  | 1.7499          | 1.0 |
+| 1.7474        | 7.95  | 700  | 1.7209          | 1.0 |
+| 1.7105        | 9.09  | 800  | 1.6658          | 1.0 |
+| 1.6932        | 10.23 | 900  | 1.5940          | 1.0 |
+| 1.6064        | 11.36 | 1000 | 1.4630          | 1.0 |
+| 1.4748        | 12.5  | 1100 | 1.1940          | 1.0 |
+| 1.2831        | 13.64 | 1200 | 0.9712          | 1.0 |
+| 1.1637        | 14.77 | 1300 | 0.8227          | 1.0 |
+| 1.0745        | 15.91 | 1400 | 0.7349          | 1.0 |
+| 0.9797        | 17.05 | 1500 | 0.6512          | 1.0 |
+| 0.9098        | 18.18 | 1600 | 0.6124          | 1.0 |
+| 0.8953        | 19.32 | 1700 | 0.5811          | 1.0 |
 
 
 ### Framework versions