End of training

README.md

@@ -1,15 +1,33 @@
 ---
 library_name: transformers
+language:
+- en
 license: apache-2.0
 base_model: google/bert_uncased_L-4_H-128_A-2
 tags:
 - generated_from_trainer
+datasets:
+- glue
 metrics:
 - matthews_correlation
 - accuracy
 model-index:
 - name: bert_uncased_L-4_H-128_A-2_cola
-  results: []
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: GLUE COLA
+      type: glue
+      args: cola
+    metrics:
+    - name: Matthews Correlation
+      type: matthews_correlation
+      value: 0.0
+    - name: Accuracy
+      type: accuracy
+      value: 0.6912751793861389
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -17,11 +35,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bert_uncased_L-4_H-128_A-2_cola
 
-This model is a fine-tuned version of [google/bert_uncased_L-4_H-128_A-2](https://huggingface.co/google/bert_uncased_L-4_H-128_A-2) on an unknown dataset.
+This model is a fine-tuned version of [google/bert_uncased_L-4_H-128_A-2](https://huggingface.co/google/bert_uncased_L-4_H-128_A-2) on the GLUE COLA dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6383
-- Matthews Correlation: 0.1031
-- Accuracy: 0.6548
+- Loss: 0.6092
+- Matthews Correlation: 0.0
+- Accuracy: 0.6913
 
 ## Model description
 

all_results.json

@@ -0,0 +1,16 @@
+{
+    "epoch": 11.0,
+    "eval_accuracy": 0.6912751793861389,
+    "eval_loss": 0.6091980338096619,
+    "eval_matthews_correlation": 0.0,
+    "eval_runtime": 0.3671,
+    "eval_samples": 1043,
+    "eval_samples_per_second": 2841.365,
+    "eval_steps_per_second": 13.621,
+    "total_flos": 117043404217344.0,
+    "train_loss": 0.5832455527973684,
+    "train_runtime": 45.3448,
+    "train_samples": 8551,
+    "train_samples_per_second": 9428.866,
+    "train_steps_per_second": 37.491
+}

eval_results.json

@@ -0,0 +1,10 @@
+{
+    "epoch": 11.0,
+    "eval_accuracy": 0.6912751793861389,
+    "eval_loss": 0.6091980338096619,
+    "eval_matthews_correlation": 0.0,
+    "eval_runtime": 0.3671,
+    "eval_samples": 1043,
+    "eval_samples_per_second": 2841.365,
+    "eval_steps_per_second": 13.621
+}

logs/events.out.tfevents.1733335291.ki-g0008.1764072.19

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f34051573b79a18854eb85286c42044bbc2bcf99b7ce612d68691da7200c75dc
+size 475

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 11.0,
+    "total_flos": 117043404217344.0,
+    "train_loss": 0.5832455527973684,
+    "train_runtime": 45.3448,
+    "train_samples": 8551,
+    "train_samples_per_second": 9428.866,
+    "train_steps_per_second": 37.491
+}

trainer_state.json

@@ -0,0 +1,238 @@
+{
+  "best_metric": 0.6091980338096619,
+  "best_model_checkpoint": "bert_uncased_L-4_H-128_A-2_cola/checkpoint-204",
+  "epoch": 11.0,
+  "eval_steps": 500,
+  "global_step": 374,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 1.0,
+      "grad_norm": 0.7114630937576294,
+      "learning_rate": 4.9e-05,
+      "loss": 0.6362,
+      "step": 34
+    },
+    {
+      "epoch": 1.0,
+      "eval_accuracy": 0.6912751793861389,
+      "eval_loss": 0.6191275119781494,
+      "eval_matthews_correlation": 0.0,
+      "eval_runtime": 0.368,
+      "eval_samples_per_second": 2834.557,
+      "eval_steps_per_second": 13.588,
+      "step": 34
+    },
+    {
+      "epoch": 2.0,
+      "grad_norm": 0.6178502440452576,
+      "learning_rate": 4.8e-05,
+      "loss": 0.608,
+      "step": 68
+    },
+    {
+      "epoch": 2.0,
+      "eval_accuracy": 0.6912751793861389,
+      "eval_loss": 0.6190881729125977,
+      "eval_matthews_correlation": 0.0,
+      "eval_runtime": 0.359,
+      "eval_samples_per_second": 2905.511,
+      "eval_steps_per_second": 13.929,
+      "step": 68
+    },
+    {
+      "epoch": 3.0,
+      "grad_norm": 0.42143625020980835,
+      "learning_rate": 4.7e-05,
+      "loss": 0.607,
+      "step": 102
+    },
+    {
+      "epoch": 3.0,
+      "eval_accuracy": 0.6912751793861389,
+      "eval_loss": 0.616786777973175,
+      "eval_matthews_correlation": 0.0,
+      "eval_runtime": 0.3564,
+      "eval_samples_per_second": 2926.415,
+      "eval_steps_per_second": 14.029,
+      "step": 102
+    },
+    {
+      "epoch": 4.0,
+      "grad_norm": 0.5581986904144287,
+      "learning_rate": 4.600000000000001e-05,
+      "loss": 0.6055,
+      "step": 136
+    },
+    {
+      "epoch": 4.0,
+      "eval_accuracy": 0.6912751793861389,
+      "eval_loss": 0.6145115494728088,
+      "eval_matthews_correlation": 0.0,
+      "eval_runtime": 0.3604,
+      "eval_samples_per_second": 2894.371,
+      "eval_steps_per_second": 13.875,
+      "step": 136
+    },
+    {
+      "epoch": 5.0,
+      "grad_norm": 0.6049013137817383,
+      "learning_rate": 4.5e-05,
+      "loss": 0.6009,
+      "step": 170
+    },
+    {
+      "epoch": 5.0,
+      "eval_accuracy": 0.6912751793861389,
+      "eval_loss": 0.6107176542282104,
+      "eval_matthews_correlation": 0.0,
+      "eval_runtime": 0.3593,
+      "eval_samples_per_second": 2902.792,
+      "eval_steps_per_second": 13.916,
+      "step": 170
+    },
+    {
+      "epoch": 6.0,
+      "grad_norm": 0.7587459087371826,
+      "learning_rate": 4.4000000000000006e-05,
+      "loss": 0.5939,
+      "step": 204
+    },
+    {
+      "epoch": 6.0,
+      "eval_accuracy": 0.6912751793861389,
+      "eval_loss": 0.6091980338096619,
+      "eval_matthews_correlation": 0.0,
+      "eval_runtime": 0.3601,
+      "eval_samples_per_second": 2896.749,
+      "eval_steps_per_second": 13.887,
+      "step": 204
+    },
+    {
+      "epoch": 7.0,
+      "grad_norm": 1.9767988920211792,
+      "learning_rate": 4.3e-05,
+      "loss": 0.5799,
+      "step": 238
+    },
+    {
+      "epoch": 7.0,
+      "eval_accuracy": 0.6951102614402771,
+      "eval_loss": 0.616756796836853,
+      "eval_matthews_correlation": 0.0854532539112171,
+      "eval_runtime": 0.3674,
+      "eval_samples_per_second": 2838.795,
+      "eval_steps_per_second": 13.609,
+      "step": 238
+    },
+    {
+      "epoch": 8.0,
+      "grad_norm": 1.1349046230316162,
+      "learning_rate": 4.2e-05,
+      "loss": 0.5679,
+      "step": 272
+    },
+    {
+      "epoch": 8.0,
+      "eval_accuracy": 0.6912751793861389,
+      "eval_loss": 0.6161894202232361,
+      "eval_matthews_correlation": 0.08481153787433816,
+      "eval_runtime": 0.364,
+      "eval_samples_per_second": 2865.523,
+      "eval_steps_per_second": 13.737,
+      "step": 272
+    },
+    {
+      "epoch": 9.0,
+      "grad_norm": 1.366595983505249,
+      "learning_rate": 4.1e-05,
+      "loss": 0.5553,
+      "step": 306
+    },
+    {
+      "epoch": 9.0,
+      "eval_accuracy": 0.6855225563049316,
+      "eval_loss": 0.623590886592865,
+      "eval_matthews_correlation": 0.06376490253157786,
+      "eval_runtime": 0.3742,
+      "eval_samples_per_second": 2787.105,
+      "eval_steps_per_second": 13.361,
+      "step": 306
+    },
+    {
+      "epoch": 10.0,
+      "grad_norm": 1.5425918102264404,
+      "learning_rate": 4e-05,
+      "loss": 0.5361,
+      "step": 340
+    },
+    {
+      "epoch": 10.0,
+      "eval_accuracy": 0.6586769223213196,
+      "eval_loss": 0.6316266655921936,
+      "eval_matthews_correlation": 0.08369053019265868,
+      "eval_runtime": 0.3592,
+      "eval_samples_per_second": 2903.742,
+      "eval_steps_per_second": 13.92,
+      "step": 340
+    },
+    {
+      "epoch": 11.0,
+      "grad_norm": 2.3495326042175293,
+      "learning_rate": 3.9000000000000006e-05,
+      "loss": 0.5249,
+      "step": 374
+    },
+    {
+      "epoch": 11.0,
+      "eval_accuracy": 0.6548417806625366,
+      "eval_loss": 0.638280987739563,
+      "eval_matthews_correlation": 0.10313429660779676,
+      "eval_runtime": 0.3611,
+      "eval_samples_per_second": 2888.509,
+      "eval_steps_per_second": 13.847,
+      "step": 374
+    },
+    {
+      "epoch": 11.0,
+      "step": 374,
+      "total_flos": 117043404217344.0,
+      "train_loss": 0.5832455527973684,
+      "train_runtime": 45.3448,
+      "train_samples_per_second": 9428.866,
+      "train_steps_per_second": 37.491
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 1700,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 50,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "EarlyStoppingCallback": {
+      "args": {
+        "early_stopping_patience": 5,
+        "early_stopping_threshold": 0.0
+      },
+      "attributes": {
+        "early_stopping_patience_counter": 5
+      }
+    },
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 117043404217344.0,
+  "train_batch_size": 256,
+  "trial_name": null,
+  "trial_params": null
+}