Model save

README.md

@@ -3,8 +3,6 @@ license: apache-2.0
 base_model: google/mt5-base
 tags:
 - generated_from_trainer
-datasets:
-- tiagoblima/du-qg-squadv1_pt
 model-index:
 - name: mt5_base-qg-ap-oficial
   results: []
@@ -15,9 +13,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # mt5_base-qg-ap-oficial
 
-This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on the tiagoblima/du-qg-squadv1_pt dataset.
+This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.3846
+- Loss: 1.0951
 
 ## Model description
 
@@ -46,13 +44,13 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss |
-|:-------------:|:-----:|:-----:|:---------------:|
-| 1.6703        | 1.0   | 2367  | 1.4647          |
-| 1.4897        | 2.0   | 4734  | 1.4201          |
-| 1.3982        | 3.0   | 7101  | 1.3960          |
-| 1.3304        | 4.0   | 9468  | 1.3853          |
-| 1.2909        | 5.0   | 11835 | 1.3846          |
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.7276        | 1.0   | 1386 | 1.3489          |
+| 1.5698        | 2.0   | 2772 | 1.2226          |
+| 1.4547        | 3.0   | 4158 | 1.1470          |
+| 1.3969        | 4.0   | 5544 | 1.1057          |
+| 1.3748        | 5.0   | 6930 | 1.0951          |
 
 
 ### Framework versions
@@ -60,4 +58,4 @@ The following hyperparameters were used during training:
 - Transformers 4.35.2
 - Pytorch 2.1.0+cu121
 - Datasets 2.15.0
-- Tokenizers 0.15.0
+- Tokenizers 0.15.1