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-wnli
-  results: []
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: GLUE WNLI
+      type: glue
+      args: wnli
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.5211267605633803
 ---
 
 <!-- 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-wnli
 
-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 WNLI dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.7029
 - Accuracy: 0.5211

all_results.json

@@ -0,0 +1,15 @@
+{
+    "epoch": 3.0,
+    "eval_accuracy": 0.5211267605633803,
+    "eval_loss": 0.7029412984848022,
+    "eval_runtime": 0.3122,
+    "eval_samples": 71,
+    "eval_samples_per_second": 227.442,
+    "eval_steps_per_second": 28.831,
+    "total_flos": 501226560460800.0,
+    "train_loss": 0.700636609395345,
+    "train_runtime": 43.2665,
+    "train_samples": 635,
+    "train_samples_per_second": 44.029,
+    "train_steps_per_second": 2.774
+}

eval_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 3.0,
+    "eval_accuracy": 0.5211267605633803,
+    "eval_loss": 0.7029412984848022,
+    "eval_runtime": 0.3122,
+    "eval_samples": 71,
+    "eval_samples_per_second": 227.442,
+    "eval_steps_per_second": 28.831
+}

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 3.0,
+    "total_flos": 501226560460800.0,
+    "train_loss": 0.700636609395345,
+    "train_runtime": 43.2665,
+    "train_samples": 635,
+    "train_samples_per_second": 44.029,
+    "train_steps_per_second": 2.774
+}

trainer_state.json

@@ -0,0 +1,90 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 3.0,
+  "eval_steps": 500,
+  "global_step": 120,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 1.0,
+      "grad_norm": 1.9622077941894531,
+      "learning_rate": 1.3333333333333333e-05,
+      "loss": 0.7054,
+      "step": 40
+    },
+    {
+      "epoch": 1.0,
+      "eval_accuracy": 0.39436619718309857,
+      "eval_loss": 0.7037611603736877,
+      "eval_runtime": 0.3115,
+      "eval_samples_per_second": 227.899,
+      "eval_steps_per_second": 28.889,
+      "step": 40
+    },
+    {
+      "epoch": 2.0,
+      "grad_norm": 2.4183990955352783,
+      "learning_rate": 6.666666666666667e-06,
+      "loss": 0.7017,
+      "step": 80
+    },
+    {
+      "epoch": 2.0,
+      "eval_accuracy": 0.4225352112676056,
+      "eval_loss": 0.7019116878509521,
+      "eval_runtime": 0.3114,
+      "eval_samples_per_second": 228.007,
+      "eval_steps_per_second": 28.902,
+      "step": 80
+    },
+    {
+      "epoch": 3.0,
+      "grad_norm": 3.7433464527130127,
+      "learning_rate": 0.0,
+      "loss": 0.6947,
+      "step": 120
+    },
+    {
+      "epoch": 3.0,
+      "eval_accuracy": 0.5211267605633803,
+      "eval_loss": 0.7029412984848022,
+      "eval_runtime": 0.3126,
+      "eval_samples_per_second": 227.111,
+      "eval_steps_per_second": 28.789,
+      "step": 120
+    },
+    {
+      "epoch": 3.0,
+      "step": 120,
+      "total_flos": 501226560460800.0,
+      "train_loss": 0.700636609395345,
+      "train_runtime": 43.2665,
+      "train_samples_per_second": 44.029,
+      "train_steps_per_second": 2.774
+    }
+  ],
+  "logging_steps": 500,
+  "max_steps": 120,
+  "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": 501226560460800.0,
+  "train_batch_size": 16,
+  "trial_name": null,
+  "trial_params": null
+}