Model save

README.md

@@ -3,8 +3,6 @@ license: mit
 base_model: unicamp-dl/ptt5-base-portuguese-vocab
 tags:
 - generated_from_trainer
-datasets:
-- tiagoblima/du-qg-squadv1_pt
 model-index:
 - name: t5_base-qg-ap-oficial
   results: []
@@ -15,9 +13,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # t5_base-qg-ap-oficial
 
-This model is a fine-tuned version of [unicamp-dl/ptt5-base-portuguese-vocab](https://huggingface.co/unicamp-dl/ptt5-base-portuguese-vocab) on the tiagoblima/du-qg-squadv1_pt dataset.
+This model is a fine-tuned version of [unicamp-dl/ptt5-base-portuguese-vocab](https://huggingface.co/unicamp-dl/ptt5-base-portuguese-vocab) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.7632
+- Loss: 1.3543
 
 ## Model description
 
@@ -46,13 +44,13 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss |
-|:-------------:|:-----:|:-----:|:---------------:|
-| 1.928         | 1.0   | 2367  | 1.8312          |
-| 1.7467        | 2.0   | 4734  | 1.7875          |
-| 1.6658        | 3.0   | 7101  | 1.7681          |
-| 1.5892        | 4.0   | 9468  | 1.7632          |
-| 1.5483        | 5.0   | 11835 | 1.7673          |
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.9237        | 1.0   | 1386 | 1.6561          |
+| 1.7757        | 2.0   | 2772 | 1.5138          |
+| 1.6625        | 3.0   | 4158 | 1.4245          |
+| 1.6348        | 4.0   | 5544 | 1.3713          |
+| 1.591         | 5.0   | 6930 | 1.3543          |
 
 
 ### Framework versions