End of training

README.md

@@ -3,6 +3,8 @@ 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: []
@@ -13,7 +15,9 @@ 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 an unknown dataset.
+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
 
 ## Model description
 

all_results.json

@@ -0,0 +1,13 @@
+{
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+    "eval_loss": 1.4470528364181519,
+    "eval_runtime": 77.4953,
+    "eval_samples": 8869,
+    "eval_samples_per_second": 114.446,
+    "eval_steps_per_second": 14.311,
+    "train_loss": 1.2936539687732658,
+    "train_runtime": 11629.1597,
+    "train_samples": 51704,
+    "train_samples_per_second": 44.461,
+    "train_steps_per_second": 0.695
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 10.0,
+    "eval_loss": 1.4470528364181519,
+    "eval_runtime": 77.4953,
+    "eval_samples": 8869,
+    "eval_samples_per_second": 114.446,
+    "eval_steps_per_second": 14.311
+}

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 10.0,
+    "train_loss": 1.2936539687732658,
+    "train_runtime": 11629.1597,
+    "train_samples": 51704,
+    "train_samples_per_second": 44.461,
+    "train_steps_per_second": 0.695
+}

trainer_state.json

@@ -0,0 +1,124 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 10.0,
+  "eval_steps": 500,
+  "global_step": 8080,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
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+    {
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+  "logging_steps": 500,
+  "max_steps": 8080,
+  "num_train_epochs": 10,
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+  "trial_params": null
+}