update model card README.md

README.md

@@ -12,9 +12,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # masked-sentence-generation
 
-This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on the None dataset.
+This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: nan
+- Loss: 2.6669
 
 ## Model description
 
@@ -34,23 +34,29 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 0.0001
-- train_batch_size: 1
-- eval_batch_size: 1
+- train_batch_size: 4
+- eval_batch_size: 4
 - seed: 42
 - gradient_accumulation_steps: 16
-- total_train_batch_size: 16
+- total_train_batch_size: 64
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 7
+- num_epochs: 10
 
 ### Training results
 
-| Training Loss                   | Epoch | Step | Validation Loss |
-|:-------------------------------:|:-----:|:----:|:---------------:|
-| 84911378280078883749363712.0000 | 1.5   | 100  | nan             |
-| 0.0                             | 2.99  | 200  | nan             |
-| 0.0                             | 4.49  | 300  | nan             |
-| 0.0                             | 5.98  | 400  | nan             |
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.9063        | 0.99  | 100  | 2.6335          |
+| 2.76          | 1.99  | 200  | 2.6237          |
+| 2.6728        | 2.98  | 300  | 2.6239          |
+| 2.5965        | 3.97  | 400  | 2.6301          |
+| 2.535         | 4.96  | 500  | 2.6386          |
+| 2.483         | 5.96  | 600  | 2.6485          |
+| 2.4399        | 6.95  | 700  | 2.6544          |
+| 2.41          | 7.94  | 800  | 2.6620          |
+| 2.3816        | 8.93  | 900  | 2.6658          |
+| 2.3743        | 9.93  | 1000 | 2.6669          |
 
 
 ### Framework versions