Model save

README.md

@@ -3,8 +3,6 @@ license: mit
 base_model: unicamp-dl/ptt5-small-t5-vocab
 tags:
 - generated_from_trainer
-datasets:
-- tiagoblima/qg_squad_v1_pt
 model-index:
 - name: t5_small-qg-aap
   results: []
@@ -15,9 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # t5_small-qg-aap
 
-This model is a fine-tuned version of [unicamp-dl/ptt5-small-t5-vocab](https://huggingface.co/unicamp-dl/ptt5-small-t5-vocab) on the tiagoblima/qg_squad_v1_pt dataset.
-It achieves the following results on the evaluation set:
-- Loss: 1.4471
+This model is a fine-tuned version of [unicamp-dl/ptt5-small-t5-vocab](https://huggingface.co/unicamp-dl/ptt5-small-t5-vocab) on an unknown dataset.
 
 ## Model description
 
@@ -42,7 +38,7 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 10.0
+- num_epochs: 15.0
 
 ### Training results
 

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6a8d7a16cdabceb2a7f89a3630912feedd2afa93f14ca2024afc79de8b166763
+oid sha256:212ddba1f16853f76e8129fad0f852ed5a5a314a52fba4c14a2187bcb109bb2e
 size 242041896