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: debug_t5-small_squad
   results: []
@@ -13,7 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # debug_t5-small_squad
 
-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: 1.5792
 
 ## Model description
 

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 2.0,
+    "eval_loss": 1.5792150497436523,
+    "eval_runtime": 130.2194,
+    "eval_samples": 14945,
+    "eval_samples_per_second": 114.768,
+    "eval_steps_per_second": 14.353,
+    "train_loss": 1.4037482273500275,
+    "train_runtime": 3969.1352,
+    "train_samples": 87599,
+    "train_samples_per_second": 44.14,
+    "train_steps_per_second": 0.69
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 2.0,
+    "eval_loss": 1.5792150497436523,
+    "eval_runtime": 130.2194,
+    "eval_samples": 14945,
+    "eval_samples_per_second": 114.768,
+    "eval_steps_per_second": 14.353
+}

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 2.0,
+    "train_loss": 1.4037482273500275,
+    "train_runtime": 3969.1352,
+    "train_samples": 87599,
+    "train_samples_per_second": 44.14,
+    "train_steps_per_second": 0.69
+}

trainer_state.json

@@ -0,0 +1,58 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 2.0,
+  "eval_steps": 500,
+  "global_step": 2738,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.37,
+      "learning_rate": 8.692476260043827e-06,
+      "loss": 1.2919,
+      "step": 500
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 0.0,
+      "loss": 1.4435,
+      "step": 1000
+    },
+    {
+      "epoch": 1.1,
+      "learning_rate": 0.0,
+      "loss": 1.4318,
+      "step": 1500
+    },
+    {
+      "epoch": 1.46,
+      "learning_rate": 0.0,
+      "loss": 1.4235,
+      "step": 2000
+    },
+    {
+      "epoch": 1.83,
+      "learning_rate": 0.0,
+      "loss": 1.4192,
+      "step": 2500
+    },
+    {
+      "epoch": 2.0,
+      "step": 2738,
+      "total_flos": 1.7783709700718592e+16,
+      "train_loss": 1.4037482273500275,
+      "train_runtime": 3969.1352,
+      "train_samples_per_second": 44.14,
+      "train_steps_per_second": 0.69
+    }
+  ],
+  "logging_steps": 500,
+  "max_steps": 2738,
+  "num_train_epochs": 2,
+  "save_steps": 500,
+  "total_flos": 1.7783709700718592e+16,
+  "trial_name": null,
+  "trial_params": null
+}