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 [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.7536
+- Loss: 1.7541
 
 ## Model description
 
@@ -34,29 +34,32 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 32
+- train_batch_size: 64
 - eval_batch_size: 8
 - seed: 42
 - 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 |
 |:-------------:|:-----:|:-----:|:---------------:|
-| 2.1364        | 1.0   | 2106  | 1.8266          |
-| 2.0131        | 2.0   | 4212  | 1.7688          |
-| 1.9435        | 3.0   | 6318  | 1.7572          |
-| 1.8904        | 4.0   | 8424  | 1.7694          |
-| 1.8695        | 5.0   | 10530 | 1.7581          |
-| 1.8502        | 6.0   | 12636 | 1.7571          |
-| 1.8284        | 7.0   | 14742 | 1.7536          |
+| 2.2228        | 1.0   | 1053  | 1.8560          |
+| 2.078         | 2.0   | 2106  | 1.7876          |
+| 1.9936        | 3.0   | 3159  | 1.7681          |
+| 1.9479        | 4.0   | 4212  | 1.7580          |
+| 1.911         | 5.0   | 5265  | 1.7552          |
+| 1.883         | 6.0   | 6318  | 1.7642          |
+| 1.8738        | 7.0   | 7371  | 1.7618          |
+| 1.8524        | 8.0   | 8424  | 1.7571          |
+| 1.847         | 9.0   | 9477  | 1.7532          |
+| 1.8346        | 10.0  | 10530 | 1.7541          |
 
 
 ### Framework versions
 
-- Transformers 4.30.0
+- Transformers 4.30.1
 - Pytorch 2.0.1+cu118
 - Datasets 2.12.0
 - Tokenizers 0.13.3