End of training

README.md

@@ -1,14 +1,29 @@
 ---
 library_name: transformers
+language:
+- en
 license: apache-2.0
 base_model: bert-base-uncased
 tags:
 - generated_from_trainer
+datasets:
+- glue
 metrics:
 - accuracy
 model-index:
 - name: bert-base-uncased-finetuned-rte
-  results: []
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: GLUE RTE
+      type: glue
+      args: rte
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.6462093862815884
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,7 +31,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bert-base-uncased-finetuned-rte
 
-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 RTE dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.6962
 - Accuracy: 0.6462

all_results.json

@@ -0,0 +1,15 @@
+{
+    "epoch": 3.0,
+    "eval_accuracy": 0.6462093862815884,
+    "eval_loss": 0.6961731910705566,
+    "eval_runtime": 1.1857,
+    "eval_samples": 277,
+    "eval_samples_per_second": 233.622,
+    "eval_steps_per_second": 29.519,
+    "total_flos": 1965439583539200.0,
+    "train_loss": 0.5499022394163996,
+    "train_runtime": 117.9582,
+    "train_samples": 2490,
+    "train_samples_per_second": 63.328,
+    "train_steps_per_second": 3.968
+}

eval_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 3.0,
+    "eval_accuracy": 0.6462093862815884,
+    "eval_loss": 0.6961731910705566,
+    "eval_runtime": 1.1857,
+    "eval_samples": 277,
+    "eval_samples_per_second": 233.622,
+    "eval_steps_per_second": 29.519
+}

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 3.0,
+    "total_flos": 1965439583539200.0,
+    "train_loss": 0.5499022394163996,
+    "train_runtime": 117.9582,
+    "train_samples": 2490,
+    "train_samples_per_second": 63.328,
+    "train_steps_per_second": 3.968
+}

trainer_state.json

@@ -0,0 +1,90 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 3.0,
+  "eval_steps": 500,
+  "global_step": 468,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 1.0,
+      "grad_norm": 7.19158411026001,
+      "learning_rate": 1.3333333333333333e-05,
+      "loss": 0.6929,
+      "step": 156
+    },
+    {
+      "epoch": 1.0,
+      "eval_accuracy": 0.6137184115523465,
+      "eval_loss": 0.6584985852241516,
+      "eval_runtime": 1.191,
+      "eval_samples_per_second": 232.585,
+      "eval_steps_per_second": 29.388,
+      "step": 156
+    },
+    {
+      "epoch": 2.0,
+      "grad_norm": 10.83151912689209,
+      "learning_rate": 6.666666666666667e-06,
+      "loss": 0.5631,
+      "step": 312
+    },
+    {
+      "epoch": 2.0,
+      "eval_accuracy": 0.6570397111913358,
+      "eval_loss": 0.6389040350914001,
+      "eval_runtime": 1.1821,
+      "eval_samples_per_second": 234.336,
+      "eval_steps_per_second": 29.609,
+      "step": 312
+    },
+    {
+      "epoch": 3.0,
+      "grad_norm": 7.651352882385254,
+      "learning_rate": 0.0,
+      "loss": 0.3937,
+      "step": 468
+    },
+    {
+      "epoch": 3.0,
+      "eval_accuracy": 0.6462093862815884,
+      "eval_loss": 0.6961731910705566,
+      "eval_runtime": 1.1913,
+      "eval_samples_per_second": 232.528,
+      "eval_steps_per_second": 29.381,
+      "step": 468
+    },
+    {
+      "epoch": 3.0,
+      "step": 468,
+      "total_flos": 1965439583539200.0,
+      "train_loss": 0.5499022394163996,
+      "train_runtime": 117.9582,
+      "train_samples_per_second": 63.328,
+      "train_steps_per_second": 3.968
+    }
+  ],
+  "logging_steps": 500,
+  "max_steps": 468,
+  "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": 1965439583539200.0,
+  "train_batch_size": 16,
+  "trial_name": null,
+  "trial_params": null
+}