End of training

README.md

@@ -3,11 +3,6 @@ library_name: transformers
 base_model: dccuchile/bert-base-spanish-wwm-uncased
 tags:
 - generated_from_trainer
-metrics:
-- accuracy
-- f1
-- precision
-- recall
 model-index:
 - name: Bert_v11
   results: []
@@ -20,11 +15,16 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-uncased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Accuracy: 0.9032
-- F1: 0.9018
-- Precision: 0.9036
-- Recall: 0.9021
-- Loss: 0.4583
+- eval_accuracy: 0.9032
+- eval_f1: 0.9017
+- eval_precision: 0.9035
+- eval_recall: 0.9020
+- eval_loss: 0.4575
+- eval_runtime: 116.6553
+- eval_samples_per_second: 32.403
+- eval_steps_per_second: 1.02
+- epoch: 0.0725
+- step: 20
 
 ## Model description
 
@@ -52,10 +52,6 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_steps: 200
 - num_epochs: 15
 
-### Training results
-
-
-
 ### Framework versions
 
 - Transformers 4.44.2

all_results.json

@@ -1,10 +1,10 @@
 {
     "epoch": 8.0,
     "eval_accuracy": 0.9031746031746032,
-    "eval_f1": 0.9017850721426728,
-    "eval_loss": 0.45825621485710144,
-    "eval_precision": 0.9036277073612298,
-    "eval_recall": 0.902066631184587,
+    "eval_f1": 0.9017334623312502,
+    "eval_loss": 0.45751890540122986,
+    "eval_precision": 0.9035223833704444,
+    "eval_recall": 0.9020339725952946,
     "eval_runtime": 124.5942,
     "eval_samples_per_second": 30.339,
     "eval_steps_per_second": 0.955,

eval_results.json

@@ -1,11 +1,7 @@
 {
-    "epoch": 8.0,
     "eval_accuracy": 0.9031746031746032,
-    "eval_f1": 0.9017850721426728,
-    "eval_loss": 0.45825621485710144,
-    "eval_precision": 0.9036277073612298,
-    "eval_recall": 0.902066631184587,
-    "eval_runtime": 124.5942,
-    "eval_samples_per_second": 30.339,
-    "eval_steps_per_second": 0.955
+    "eval_f1": 0.9017334623312502,
+    "eval_loss": 0.45751890540122986,
+    "eval_precision": 0.9035223833704444,
+    "eval_recall": 0.9020339725952946
 }

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6ae9181229b9a85fc8a5f5f1ceccc19ea785e7ebdad58a1654cbd5f950dd48a7
+oid sha256:44da92d9231f6cb9360bf8c4dca271d6427081cbbbc94ce8f35217eb6c5b2f91
 size 439556248

trainer_state.json

@@ -1,259 +1,24 @@
 {
   "best_metric": null,
   "best_model_checkpoint": null,
-  "epoch": 8.0,
+  "epoch": 0.07246376811594203,
   "eval_steps": 500,
-  "global_step": 2208,
+  "global_step": 20,
   "is_hyper_param_search": false,
   "is_local_process_zero": true,
   "is_world_process_zero": true,
   "log_history": [
     {
-      "epoch": 1.0,
-      "step": 276,
-      "train_eval_accuracy": 0.7003401360544218,
-      "train_eval_f1": 0.6599009769808177,
-      "train_eval_loss": 1.0742188692092896,
-      "train_eval_precision": 0.7685367987097715,
-      "train_eval_recall": 0.7009459009381873,
-      "train_loss": 1.074218988418579,
-      "train_runtime": 292.4292,
-      "train_samples_per_second": 30.161,
-      "train_steps_per_second": 0.944
-    },
-    {
-      "epoch": 1.0,
-      "eval_accuracy": 0.6865079365079365,
-      "eval_f1": 0.6448401353068663,
-      "eval_loss": 1.1159266233444214,
-      "eval_precision": 0.7389370546469851,
-      "eval_recall": 0.685088186510769,
-      "eval_runtime": 125.2302,
-      "eval_samples_per_second": 30.184,
-      "eval_steps_per_second": 0.95,
-      "step": 276
-    },
-    {
-      "epoch": 2.0,
-      "step": 552,
-      "train_eval_accuracy": 0.9049886621315193,
-      "train_eval_f1": 0.9047389370162652,
-      "train_eval_loss": 0.3874468207359314,
-      "train_eval_precision": 0.9101320070777226,
-      "train_eval_recall": 0.9053131019265812,
-      "train_loss": 0.3874468505382538,
-      "train_runtime": 292.6477,
-      "train_samples_per_second": 30.139,
-      "train_steps_per_second": 0.943
-    },
-    {
-      "epoch": 2.0,
-      "eval_accuracy": 0.873015873015873,
-      "eval_f1": 0.8716046163578155,
-      "eval_loss": 0.4920203685760498,
-      "eval_precision": 0.8781278884267814,
-      "eval_recall": 0.8725450168508944,
-      "eval_runtime": 125.7044,
-      "eval_samples_per_second": 30.071,
-      "eval_steps_per_second": 0.947,
-      "step": 552
-    },
-    {
-      "epoch": 3.0,
-      "step": 828,
-      "train_eval_accuracy": 0.9286848072562358,
-      "train_eval_f1": 0.9285171455529603,
-      "train_eval_loss": 0.27065399289131165,
-      "train_eval_precision": 0.9322649415650033,
-      "train_eval_recall": 0.9289123109383434,
-      "train_loss": 0.27065402269363403,
-      "train_runtime": 292.5422,
-      "train_samples_per_second": 30.149,
-      "train_steps_per_second": 0.943
-    },
-    {
-      "epoch": 3.0,
-      "eval_accuracy": 0.8973544973544973,
-      "eval_f1": 0.8961220197070991,
-      "eval_loss": 0.42477917671203613,
-      "eval_precision": 0.9011567773926408,
-      "eval_recall": 0.8971253090647534,
-      "eval_runtime": 125.1591,
-      "eval_samples_per_second": 30.202,
-      "eval_steps_per_second": 0.951,
-      "step": 828
-    },
-    {
-      "epoch": 4.0,
-      "step": 1104,
-      "train_eval_accuracy": 0.9471655328798186,
-      "train_eval_f1": 0.947517595979444,
-      "train_eval_loss": 0.2088230848312378,
-      "train_eval_precision": 0.9488916851742717,
-      "train_eval_recall": 0.9477037054061244,
-      "train_loss": 0.2088230848312378,
-      "train_runtime": 292.1312,
-      "train_samples_per_second": 30.192,
-      "train_steps_per_second": 0.945
-    },
-    {
-      "epoch": 4.0,
-      "eval_accuracy": 0.9010582010582011,
-      "eval_f1": 0.8999224906052751,
-      "eval_loss": 0.41053256392478943,
-      "eval_precision": 0.9025635496532717,
-      "eval_recall": 0.9002552887231217,
-      "eval_runtime": 125.1369,
-      "eval_samples_per_second": 30.207,
-      "eval_steps_per_second": 0.951,
-      "step": 1104
-    },
-    {
-      "epoch": 5.0,
-      "step": 1380,
-      "train_eval_accuracy": 0.9515873015873015,
-      "train_eval_f1": 0.9516673939530801,
-      "train_eval_loss": 0.17656771838665009,
-      "train_eval_precision": 0.9539169437133798,
-      "train_eval_recall": 0.9520537526614696,
-      "train_loss": 0.1765676885843277,
-      "train_runtime": 292.8194,
-      "train_samples_per_second": 30.121,
-      "train_steps_per_second": 0.943
-    },
-    {
-      "epoch": 5.0,
-      "eval_accuracy": 0.9063492063492063,
-      "eval_f1": 0.9046138481463505,
-      "eval_loss": 0.41682690382003784,
-      "eval_precision": 0.9088264652953383,
-      "eval_recall": 0.9051041885149284,
-      "eval_runtime": 125.6464,
-      "eval_samples_per_second": 30.084,
-      "eval_steps_per_second": 0.947,
-      "step": 1380
-    },
-    {
-      "epoch": 6.0,
-      "step": 1656,
-      "train_eval_accuracy": 0.9654195011337868,
-      "train_eval_f1": 0.9656476663607069,
-      "train_eval_loss": 0.12671761214733124,
-      "train_eval_precision": 0.9666620904833755,
-      "train_eval_recall": 0.9657485060432522,
-      "train_loss": 0.12671762704849243,
-      "train_runtime": 292.8539,
-      "train_samples_per_second": 30.117,
-      "train_steps_per_second": 0.942
-    },
-    {
-      "epoch": 6.0,
-      "eval_accuracy": 0.9084656084656084,
-      "eval_f1": 0.9069212907450369,
-      "eval_loss": 0.41428086161613464,
-      "eval_precision": 0.909310676401177,
-      "eval_recall": 0.9074800568136571,
-      "eval_runtime": 125.6663,
-      "eval_samples_per_second": 30.08,
-      "eval_steps_per_second": 0.947,
-      "step": 1656
-    },
-    {
-      "epoch": 7.0,
-      "step": 1932,
-      "train_eval_accuracy": 0.9712018140589569,
-      "train_eval_f1": 0.9713117879463059,
-      "train_eval_loss": 0.10472333431243896,
-      "train_eval_precision": 0.9726857205787973,
-      "train_eval_recall": 0.9716513762432712,
-      "train_loss": 0.10472334921360016,
-      "train_runtime": 293.0912,
-      "train_samples_per_second": 30.093,
-      "train_steps_per_second": 0.942
-    },
-    {
-      "epoch": 7.0,
-      "eval_accuracy": 0.9058201058201059,
-      "eval_f1": 0.9040971215004513,
-      "eval_loss": 0.4402031898498535,
-      "eval_precision": 0.9063334381728124,
-      "eval_recall": 0.9047346717153943,
-      "eval_runtime": 125.6961,
-      "eval_samples_per_second": 30.073,
-      "eval_steps_per_second": 0.947,
-      "step": 1932
-    },
-    {
-      "epoch": 8.0,
-      "step": 2208,
-      "train_eval_accuracy": 0.977437641723356,
-      "train_eval_f1": 0.9777628423711627,
-      "train_eval_loss": 0.08053447306156158,
-      "train_eval_precision": 0.9778969889316966,
-      "train_eval_recall": 0.9778987153746018,
-      "train_loss": 0.08053448051214218,
-      "train_runtime": 293.5192,
-      "train_samples_per_second": 30.049,
-      "train_steps_per_second": 0.94
-    },
-    {
-      "epoch": 8.0,
+      "epoch": 0.07246376811594203,
       "eval_accuracy": 0.9031746031746032,
-      "eval_f1": 0.9017850721426728,
-      "eval_loss": 0.45825621485710144,
-      "eval_precision": 0.9036277073612298,
-      "eval_recall": 0.902066631184587,
-      "eval_runtime": 125.7628,
-      "eval_samples_per_second": 30.057,
-      "eval_steps_per_second": 0.946,
-      "step": 2208
-    },
-    {
-      "epoch": 8.0,
-      "step": 2208,
-      "total_flos": 1.85717836136448e+16,
-      "train_loss": 0.5860137939453125,
-      "train_runtime": 10564.8969,
-      "train_samples_per_second": 12.523,
-      "train_steps_per_second": 0.392
-    },
-    {
-      "epoch": 8.0,
-      "eval_accuracy": 0.9031746031746032,
-      "eval_f1": 0.9017850721426728,
-      "eval_loss": 0.45825621485710144,
-      "eval_precision": 0.9036277073612298,
-      "eval_recall": 0.902066631184587,
-      "eval_runtime": 125.8523,
-      "eval_samples_per_second": 30.035,
-      "eval_steps_per_second": 0.946,
-      "step": 2208
-    },
-    {
-      "epoch": 8.0,
-      "step": 2208,
-      "train_en_eval_accuracy": 0.977437641723356,
-      "train_en_eval_f1": 0.9777628423711627,
-      "train_en_eval_loss": 0.08053447306156158,
-      "train_en_eval_precision": 0.9778969889316966,
-      "train_en_eval_recall": 0.9778987153746018,
-      "train_en_loss": 0.08053448051214218,
-      "train_en_runtime": 292.6514,
-      "train_en_samples_per_second": 30.138,
-      "train_en_steps_per_second": 0.943
-    },
-    {
-      "epoch": 8.0,
-      "step": 2208,
-      "test_en_eval_accuracy": 0.9031746031746032,
-      "test_en_eval_f1": 0.9017850721426728,
-      "test_en_eval_loss": 0.45825621485710144,
-      "test_en_eval_precision": 0.9036277073612298,
-      "test_en_eval_recall": 0.902066631184587,
-      "test_en_loss": 0.45825621485710144,
-      "test_en_runtime": 125.7293,
-      "test_en_samples_per_second": 30.065,
-      "test_en_steps_per_second": 0.946
+      "eval_f1": 0.9017334623312502,
+      "eval_loss": 0.45751890540122986,
+      "eval_precision": 0.9035223833704444,
+      "eval_recall": 0.9020339725952946,
+      "eval_runtime": 116.6553,
+      "eval_samples_per_second": 32.403,
+      "eval_steps_per_second": 1.02,
+      "step": 20
     }
   ],
   "logging_steps": 500,
@@ -267,13 +32,13 @@
         "should_epoch_stop": false,
         "should_evaluate": false,
         "should_log": false,
-        "should_save": true,
+        "should_save": false,
         "should_training_stop": true
       },
       "attributes": {}
     }
   },
-  "total_flos": 1.85717836136448e+16,
+  "total_flos": 0,
   "train_batch_size": 32,
   "trial_name": null,
   "trial_params": null