Model save

README.md

@@ -3,8 +3,6 @@ license: mit
 base_model: unicamp-dl/ptt5-large-t5-vocab
 tags:
 - generated_from_trainer
-datasets:
-- tiagoblima/qg_squad_v1_pt
 model-index:
 - name: t5_large-qg-aap
   results: []
@@ -15,9 +13,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # t5_large-qg-aap
 
-This model is a fine-tuned version of [unicamp-dl/ptt5-large-t5-vocab](https://huggingface.co/unicamp-dl/ptt5-large-t5-vocab) on the tiagoblima/qg_squad_v1_pt dataset.
+This model is a fine-tuned version of [unicamp-dl/ptt5-large-t5-vocab](https://huggingface.co/unicamp-dl/ptt5-large-t5-vocab) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 7.4208
+- Loss: 5.5901
 
 ## Model description
 
@@ -36,9 +34,9 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.003
-- train_batch_size: 128
-- eval_batch_size: 2
+- learning_rate: 0.005
+- train_batch_size: 64
+- eval_batch_size: 4
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -48,11 +46,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 7.5413        | 1.0   | 404  | 8.8502          |
-| 6.7965        | 2.0   | 808  | 8.1184          |
-| 6.3963        | 3.0   | 1212 | 7.6950          |
-| 6.1664        | 4.0   | 1616 | 7.4855          |
-| 6.1028        | 5.0   | 2020 | 7.4208          |
+| 6.15          | 1.0   | 808  | 7.3361          |
+| 5.3335        | 2.0   | 1616 | 6.4092          |
+| 4.8807        | 3.0   | 2424 | 5.9132          |
+| 4.6492        | 4.0   | 3232 | 5.6656          |
+| 4.591         | 5.0   | 4040 | 5.5901          |
 
 
 ### Framework versions