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-qnli
-  results: []
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: GLUE QNLI
+      type: glue
+      args: qnli
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9132344865458539
 ---
 
 <!-- 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-qnli
 
-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 QNLI dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.3919
 - Accuracy: 0.9132

all_results.json

@@ -0,0 +1,15 @@
+{
+    "epoch": 3.0,
+    "eval_accuracy": 0.9132344865458539,
+    "eval_loss": 0.3919076919555664,
+    "eval_runtime": 23.6737,
+    "eval_samples": 5463,
+    "eval_samples_per_second": 230.762,
+    "eval_steps_per_second": 28.851,
+    "total_flos": 8.267712381471744e+16,
+    "train_loss": 0.21581244421347565,
+    "train_runtime": 4020.5321,
+    "train_samples": 104743,
+    "train_samples_per_second": 78.156,
+    "train_steps_per_second": 4.885
+}

eval_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 3.0,
+    "eval_accuracy": 0.9132344865458539,
+    "eval_loss": 0.3919076919555664,
+    "eval_runtime": 23.6737,
+    "eval_samples": 5463,
+    "eval_samples_per_second": 230.762,
+    "eval_steps_per_second": 28.851
+}

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 3.0,
+    "total_flos": 8.267712381471744e+16,
+    "train_loss": 0.21581244421347565,
+    "train_runtime": 4020.5321,
+    "train_samples": 104743,
+    "train_samples_per_second": 78.156,
+    "train_steps_per_second": 4.885
+}

trainer_state.json

@@ -0,0 +1,90 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 3.0,
+  "eval_steps": 500,
+  "global_step": 19641,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
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+      "grad_norm": 17.44370460510254,
+      "learning_rate": 1.3333333333333333e-05,
+      "loss": 0.3365,
+      "step": 6547
+    },
+    {
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+      "eval_accuracy": 0.9064616511074501,
+      "eval_loss": 0.23984280228614807,
+      "eval_runtime": 23.1983,
+      "eval_samples_per_second": 235.492,
+      "eval_steps_per_second": 29.442,
+      "step": 6547
+    },
+    {
+      "epoch": 2.0,
+      "grad_norm": 0.31856870651245117,
+      "learning_rate": 6.666666666666667e-06,
+      "loss": 0.1938,
+      "step": 13094
+    },
+    {
+      "epoch": 2.0,
+      "eval_accuracy": 0.9108548416620904,
+      "eval_loss": 0.2898029088973999,
+      "eval_runtime": 23.2441,
+      "eval_samples_per_second": 235.027,
+      "eval_steps_per_second": 29.384,
+      "step": 13094
+    },
+    {
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+      "learning_rate": 0.0,
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+    },
+    {
+      "epoch": 3.0,
+      "eval_accuracy": 0.9132344865458539,
+      "eval_loss": 0.3919076919555664,
+      "eval_runtime": 23.2022,
+      "eval_samples_per_second": 235.452,
+      "eval_steps_per_second": 29.437,
+      "step": 19641
+    },
+    {
+      "epoch": 3.0,
+      "step": 19641,
+      "total_flos": 8.267712381471744e+16,
+      "train_loss": 0.21581244421347565,
+      "train_runtime": 4020.5321,
+      "train_samples_per_second": 78.156,
+      "train_steps_per_second": 4.885
+    }
+  ],
+  "logging_steps": 500,
+  "max_steps": 19641,
+  "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": 8.267712381471744e+16,
+  "train_batch_size": 16,
+  "trial_name": null,
+  "trial_params": null
+}