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:
 - spearmanr
 model-index:
 - name: bert-base-uncased-finetuned-stsb
-  results: []
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: GLUE STSB
+      type: glue
+      args: stsb
+    metrics:
+    - name: Spearmanr
+      type: spearmanr
+      value: 0.8816479546260654
 ---
 
 <!-- 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-stsb
 
-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 STSB dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.5010
 - Pearson: 0.8856

all_results.json

@@ -0,0 +1,17 @@
+{
+    "epoch": 3.0,
+    "eval_combined_score": 0.8836428004813802,
+    "eval_loss": 0.5009750723838806,
+    "eval_pearson": 0.8856376463366951,
+    "eval_runtime": 6.5531,
+    "eval_samples": 1500,
+    "eval_samples_per_second": 228.9,
+    "eval_spearmanr": 0.8816479546260654,
+    "eval_steps_per_second": 28.689,
+    "total_flos": 4537835628033024.0,
+    "train_loss": 0.615536986456977,
+    "train_runtime": 261.8102,
+    "train_samples": 5749,
+    "train_samples_per_second": 65.876,
+    "train_steps_per_second": 4.125
+}

eval_results.json

@@ -0,0 +1,11 @@
+{
+    "epoch": 3.0,
+    "eval_combined_score": 0.8836428004813802,
+    "eval_loss": 0.5009750723838806,
+    "eval_pearson": 0.8856376463366951,
+    "eval_runtime": 6.5531,
+    "eval_samples": 1500,
+    "eval_samples_per_second": 228.9,
+    "eval_spearmanr": 0.8816479546260654,
+    "eval_steps_per_second": 28.689
+}

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 3.0,
+    "total_flos": 4537835628033024.0,
+    "train_loss": 0.615536986456977,
+    "train_runtime": 261.8102,
+    "train_samples": 5749,
+    "train_samples_per_second": 65.876,
+    "train_steps_per_second": 4.125
+}

trainer_state.json

@@ -0,0 +1,96 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 3.0,
+  "eval_steps": 500,
+  "global_step": 1080,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 1.0,
+      "grad_norm": 36.04340744018555,
+      "learning_rate": 1.3333333333333333e-05,
+      "loss": 1.1212,
+      "step": 360
+    },
+    {
+      "epoch": 1.0,
+      "eval_combined_score": 0.8775720604589583,
+      "eval_loss": 0.5732272267341614,
+      "eval_pearson": 0.8789818053039898,
+      "eval_runtime": 6.5665,
+      "eval_samples_per_second": 228.431,
+      "eval_spearmanr": 0.8761623156139267,
+      "eval_steps_per_second": 28.63,
+      "step": 360
+    },
+    {
+      "epoch": 2.0,
+      "grad_norm": 15.674260139465332,
+      "learning_rate": 6.666666666666667e-06,
+      "loss": 0.4308,
+      "step": 720
+    },
+    {
+      "epoch": 2.0,
+      "eval_combined_score": 0.8794983049402647,
+      "eval_loss": 0.5606899261474609,
+      "eval_pearson": 0.881313245175558,
+      "eval_runtime": 6.5051,
+      "eval_samples_per_second": 230.59,
+      "eval_spearmanr": 0.8776833647049715,
+      "eval_steps_per_second": 28.901,
+      "step": 720
+    },
+    {
+      "epoch": 3.0,
+      "grad_norm": 56.831668853759766,
+      "learning_rate": 0.0,
+      "loss": 0.2947,
+      "step": 1080
+    },
+    {
+      "epoch": 3.0,
+      "eval_combined_score": 0.8836428004813802,
+      "eval_loss": 0.5009750723838806,
+      "eval_pearson": 0.8856376463366951,
+      "eval_runtime": 6.5121,
+      "eval_samples_per_second": 230.341,
+      "eval_spearmanr": 0.8816479546260654,
+      "eval_steps_per_second": 28.869,
+      "step": 1080
+    },
+    {
+      "epoch": 3.0,
+      "step": 1080,
+      "total_flos": 4537835628033024.0,
+      "train_loss": 0.615536986456977,
+      "train_runtime": 261.8102,
+      "train_samples_per_second": 65.876,
+      "train_steps_per_second": 4.125
+    }
+  ],
+  "logging_steps": 500,
+  "max_steps": 1080,
+  "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": 4537835628033024.0,
+  "train_batch_size": 16,
+  "trial_name": null,
+  "trial_params": null
+}