End of training

README.md

@@ -1,15 +1,33 @@
 ---
 library_name: transformers
+language:
+- en
 license: apache-2.0
 base_model: bert-base-uncased
 tags:
 - generated_from_trainer
+datasets:
+- glue
 metrics:
 - accuracy
 - f1
 model-index:
 - name: bert-base-uncased-finetuned-mrpc
-  results: []
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: GLUE MRPC
+      type: glue
+      args: mrpc
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.8529411764705882
+    - name: F1
+      type: f1
+      value: 0.8958333333333334
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -17,7 +35,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bert-base-uncased-finetuned-mrpc
 
-This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the GLUE MRPC dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.4322
 - Accuracy: 0.8529

all_results.json

@@ -0,0 +1,17 @@
+{
+    "epoch": 3.0,
+    "eval_accuracy": 0.8529411764705882,
+    "eval_combined_score": 0.8743872549019608,
+    "eval_f1": 0.8958333333333334,
+    "eval_loss": 0.43215397000312805,
+    "eval_runtime": 1.3143,
+    "eval_samples": 408,
+    "eval_samples_per_second": 310.422,
+    "eval_steps_per_second": 38.803,
+    "total_flos": 2895274053181440.0,
+    "train_loss": 0.3542040064714957,
+    "train_runtime": 140.1555,
+    "train_samples": 3668,
+    "train_samples_per_second": 78.513,
+    "train_steps_per_second": 4.923
+}

eval_results.json

@@ -0,0 +1,11 @@
+{
+    "epoch": 3.0,
+    "eval_accuracy": 0.8529411764705882,
+    "eval_combined_score": 0.8743872549019608,
+    "eval_f1": 0.8958333333333334,
+    "eval_loss": 0.43215397000312805,
+    "eval_runtime": 1.3143,
+    "eval_samples": 408,
+    "eval_samples_per_second": 310.422,
+    "eval_steps_per_second": 38.803
+}

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 3.0,
+    "total_flos": 2895274053181440.0,
+    "train_loss": 0.3542040064714957,
+    "train_runtime": 140.1555,
+    "train_samples": 3668,
+    "train_samples_per_second": 78.513,
+    "train_steps_per_second": 4.923
+}

trainer_state.json

@@ -0,0 +1,96 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 3.0,
+  "eval_steps": 500,
+  "global_step": 690,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 1.0,
+      "grad_norm": 6.811136722564697,
+      "learning_rate": 1.3333333333333333e-05,
+      "loss": 0.5401,
+      "step": 230
+    },
+    {
+      "epoch": 1.0,
+      "eval_accuracy": 0.8357843137254902,
+      "eval_combined_score": 0.8583894925643437,
+      "eval_f1": 0.8809946714031972,
+      "eval_loss": 0.39578330516815186,
+      "eval_runtime": 1.2728,
+      "eval_samples_per_second": 320.554,
+      "eval_steps_per_second": 40.069,
+      "step": 230
+    },
+    {
+      "epoch": 2.0,
+      "grad_norm": 14.35599136352539,
+      "learning_rate": 6.666666666666667e-06,
+      "loss": 0.3312,
+      "step": 460
+    },
+    {
+      "epoch": 2.0,
+      "eval_accuracy": 0.8431372549019608,
+      "eval_combined_score": 0.8662053056516724,
+      "eval_f1": 0.889273356401384,
+      "eval_loss": 0.3634483516216278,
+      "eval_runtime": 1.2981,
+      "eval_samples_per_second": 314.298,
+      "eval_steps_per_second": 39.287,
+      "step": 460
+    },
+    {
+      "epoch": 3.0,
+      "grad_norm": 2.680626153945923,
+      "learning_rate": 0.0,
+      "loss": 0.1913,
+      "step": 690
+    },
+    {
+      "epoch": 3.0,
+      "eval_accuracy": 0.8529411764705882,
+      "eval_combined_score": 0.8743872549019608,
+      "eval_f1": 0.8958333333333334,
+      "eval_loss": 0.43215397000312805,
+      "eval_runtime": 1.3921,
+      "eval_samples_per_second": 293.088,
+      "eval_steps_per_second": 36.636,
+      "step": 690
+    },
+    {
+      "epoch": 3.0,
+      "step": 690,
+      "total_flos": 2895274053181440.0,
+      "train_loss": 0.3542040064714957,
+      "train_runtime": 140.1555,
+      "train_samples_per_second": 78.513,
+      "train_steps_per_second": 4.923
+    }
+  ],
+  "logging_steps": 500,
+  "max_steps": 690,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 3,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 2895274053181440.0,
+  "train_batch_size": 16,
+  "trial_name": null,
+  "trial_params": null
+}