update model card README.md

README.md

@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 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: 4.6304
+- Loss: 73.8485
 - Wer: 1.0
 
 ## Model description
@@ -35,24 +35,38 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 0.0001
-- train_batch_size: 32
+- train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 10
-- num_epochs: 30
+- num_epochs: 100
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Wer |
 |:-------------:|:-----:|:----:|:---------------:|:---:|
-| 5.9294        | 5.0   | 5    | 4.6185          | 1.0 |
-| 5.8136        | 10.0  | 10   | 4.6304          | 1.0 |
-| 5.7887        | 15.0  | 15   | 4.6304          | 1.0 |
-| 5.7888        | 20.0  | 20   | 4.6304          | 1.0 |
-| 5.7892        | 25.0  | 25   | 4.6304          | 1.0 |
-| 5.7878        | 30.0  | 30   | 4.6304          | 1.0 |
+| 40.077        | 5.0   | 5    | 61.3515         | 1.0 |
+| 18.7206       | 10.0  | 10   | 58.6625         | 1.0 |
+| 7.9279        | 15.0  | 15   | 67.8355         | 1.0 |
+| 6.8396        | 20.0  | 20   | 67.4564         | 1.0 |
+| 6.2692        | 25.0  | 25   | 65.9272         | 1.0 |
+| 5.7447        | 30.0  | 30   | 65.7217         | 1.0 |
+| 4.9843        | 35.0  | 35   | 62.7617         | 1.0 |
+| 4.6605        | 40.0  | 40   | 67.1075         | 1.0 |
+| 4.4996        | 45.0  | 45   | 68.5207         | 1.0 |
+| 4.407         | 50.0  | 50   | 60.1899         | 1.0 |
+| 4.2999        | 55.0  | 55   | 63.3337         | 1.0 |
+| 4.238         | 60.0  | 60   | 68.0757         | 1.0 |
+| 4.1984        | 65.0  | 65   | 62.6971         | 1.0 |
+| 4.0093        | 70.0  | 70   | 72.0978         | 1.0 |
+| 3.8464        | 75.0  | 75   | 76.0319         | 1.0 |
+| 3.7007        | 80.0  | 80   | 75.3886         | 1.0 |
+| 3.5934        | 85.0  | 85   | 73.3305         | 1.0 |
+| 3.621         | 90.0  | 90   | 74.1117         | 1.0 |
+| 3.5421        | 95.0  | 95   | 73.8241         | 1.0 |
+| 3.4961        | 100.0 | 100  | 73.8485         | 1.0 |
 
 
 ### Framework versions