update model card README.md

README.md

@@ -13,6 +13,9 @@ should probably proofread and complete it, then remove this comment. -->
 # wav2vec2-base-timit-demo-colab
 
 This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5127
+- Wer: 0.3082
 
 ## Model description
 
@@ -41,6 +44,26 @@ The following hyperparameters were used during training:
 - num_epochs: 30
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 3.7645        | 2.01  | 500  | 2.5179          | 0.9999 |
+| 1.1873        | 4.02  | 1000 | 0.5464          | 0.4798 |
+| 0.46          | 6.02  | 1500 | 0.4625          | 0.4025 |
+| 0.2869        | 8.03  | 2000 | 0.4252          | 0.3650 |
+| 0.2213        | 10.04 | 2500 | 0.4340          | 0.3585 |
+| 0.1905        | 12.05 | 3000 | 0.4310          | 0.3404 |
+| 0.1545        | 14.06 | 3500 | 0.4547          | 0.3381 |
+| 0.1206        | 16.06 | 4000 | 0.4902          | 0.3384 |
+| 0.1116        | 18.07 | 4500 | 0.4767          | 0.3253 |
+| 0.0925        | 20.08 | 5000 | 0.5248          | 0.3160 |
+| 0.0897        | 22.09 | 5500 | 0.4960          | 0.3126 |
+| 0.0687        | 24.1  | 6000 | 0.4876          | 0.3086 |
+| 0.063         | 26.1  | 6500 | 0.4895          | 0.3065 |
+| 0.0558        | 28.11 | 7000 | 0.5127          | 0.3082 |
+
+
 ### Framework versions
 
 - Transformers 4.11.3