End of training

README.md

@@ -1,14 +1,29 @@
 ---
 library_name: transformers
+language:
+- en
 license: apache-2.0
 base_model: google/bert_uncased_L-4_H-256_A-4
 tags:
 - generated_from_trainer
+datasets:
+- glue
 metrics:
 - accuracy
 model-index:
 - name: bert_uncased_L-4_H-256_A-4_sst2
-  results: []
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: GLUE SST2
+      type: glue
+      args: sst2
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.8428899082568807
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,10 +31,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bert_uncased_L-4_H-256_A-4_sst2
 
-This model is a fine-tuned version of [google/bert_uncased_L-4_H-256_A-4](https://huggingface.co/google/bert_uncased_L-4_H-256_A-4) on an unknown dataset.
+This model is a fine-tuned version of [google/bert_uncased_L-4_H-256_A-4](https://huggingface.co/google/bert_uncased_L-4_H-256_A-4) on the GLUE SST2 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4575
-- Accuracy: 0.8589
+- Loss: 0.3628
+- Accuracy: 0.8429
 
 ## Model description
 

all_results.json

@@ -0,0 +1,15 @@
+{
+    "epoch": 7.0,
+    "eval_accuracy": 0.8428899082568807,
+    "eval_loss": 0.36275917291641235,
+    "eval_runtime": 0.3229,
+    "eval_samples": 872,
+    "eval_samples_per_second": 2700.357,
+    "eval_steps_per_second": 12.387,
+    "total_flos": 2335961353872384.0,
+    "train_loss": 0.20875395428050647,
+    "train_runtime": 224.6839,
+    "train_samples": 67349,
+    "train_samples_per_second": 14987.5,
+    "train_steps_per_second": 58.749
+}

eval_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 7.0,
+    "eval_accuracy": 0.8428899082568807,
+    "eval_loss": 0.36275917291641235,
+    "eval_runtime": 0.3229,
+    "eval_samples": 872,
+    "eval_samples_per_second": 2700.357,
+    "eval_steps_per_second": 12.387
+}

logs/events.out.tfevents.1733332942.ki-g0008.1761130.11

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8010e9c9af96831aad34c2418ed8e3adb2e60b8d5fa5b9054e19f14c9cdf32c9
+size 411

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 7.0,
+    "total_flos": 2335961353872384.0,
+    "train_loss": 0.20875395428050647,
+    "train_runtime": 224.6839,
+    "train_samples": 67349,
+    "train_samples_per_second": 14987.5,
+    "train_steps_per_second": 58.749
+}

trainer_state.json

@@ -0,0 +1,163 @@
+{
+  "best_metric": 0.36275917291641235,
+  "best_model_checkpoint": "bert_uncased_L-4_H-256_A-4_sst2/checkpoint-528",
+  "epoch": 7.0,
+  "eval_steps": 500,
+  "global_step": 1848,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 1.0,
+      "grad_norm": 8.933422088623047,
+      "learning_rate": 4.9e-05,
+      "loss": 0.4143,
+      "step": 264
+    },
+    {
+      "epoch": 1.0,
+      "eval_accuracy": 0.8130733944954128,
+      "eval_loss": 0.41190946102142334,
+      "eval_runtime": 0.3091,
+      "eval_samples_per_second": 2821.207,
+      "eval_steps_per_second": 12.941,
+      "step": 264
+    },
+    {
+      "epoch": 2.0,
+      "grad_norm": 8.186891555786133,
+      "learning_rate": 4.8e-05,
+      "loss": 0.2672,
+      "step": 528
+    },
+    {
+      "epoch": 2.0,
+      "eval_accuracy": 0.8428899082568807,
+      "eval_loss": 0.36275917291641235,
+      "eval_runtime": 0.3107,
+      "eval_samples_per_second": 2806.986,
+      "eval_steps_per_second": 12.876,
+      "step": 528
+    },
+    {
+      "epoch": 3.0,
+      "grad_norm": 5.041283130645752,
+      "learning_rate": 4.7e-05,
+      "loss": 0.2117,
+      "step": 792
+    },
+    {
+      "epoch": 3.0,
+      "eval_accuracy": 0.8497706422018348,
+      "eval_loss": 0.3785320520401001,
+      "eval_runtime": 0.3204,
+      "eval_samples_per_second": 2721.843,
+      "eval_steps_per_second": 12.486,
+      "step": 792
+    },
+    {
+      "epoch": 4.0,
+      "grad_norm": 4.730945587158203,
+      "learning_rate": 4.600000000000001e-05,
+      "loss": 0.1736,
+      "step": 1056
+    },
+    {
+      "epoch": 4.0,
+      "eval_accuracy": 0.8474770642201835,
+      "eval_loss": 0.41394656896591187,
+      "eval_runtime": 0.3097,
+      "eval_samples_per_second": 2815.921,
+      "eval_steps_per_second": 12.917,
+      "step": 1056
+    },
+    {
+      "epoch": 5.0,
+      "grad_norm": 8.553589820861816,
+      "learning_rate": 4.5e-05,
+      "loss": 0.1493,
+      "step": 1320
+    },
+    {
+      "epoch": 5.0,
+      "eval_accuracy": 0.8532110091743119,
+      "eval_loss": 0.42312726378440857,
+      "eval_runtime": 0.32,
+      "eval_samples_per_second": 2724.974,
+      "eval_steps_per_second": 12.5,
+      "step": 1320
+    },
+    {
+      "epoch": 6.0,
+      "grad_norm": 7.31311559677124,
+      "learning_rate": 4.4000000000000006e-05,
+      "loss": 0.1294,
+      "step": 1584
+    },
+    {
+      "epoch": 6.0,
+      "eval_accuracy": 0.8543577981651376,
+      "eval_loss": 0.44111400842666626,
+      "eval_runtime": 0.3158,
+      "eval_samples_per_second": 2760.954,
+      "eval_steps_per_second": 12.665,
+      "step": 1584
+    },
+    {
+      "epoch": 7.0,
+      "grad_norm": 9.353928565979004,
+      "learning_rate": 4.3e-05,
+      "loss": 0.1159,
+      "step": 1848
+    },
+    {
+      "epoch": 7.0,
+      "eval_accuracy": 0.8589449541284404,
+      "eval_loss": 0.4574843645095825,
+      "eval_runtime": 0.3048,
+      "eval_samples_per_second": 2861.12,
+      "eval_steps_per_second": 13.124,
+      "step": 1848
+    },
+    {
+      "epoch": 7.0,
+      "step": 1848,
+      "total_flos": 2335961353872384.0,
+      "train_loss": 0.20875395428050647,
+      "train_runtime": 224.6839,
+      "train_samples_per_second": 14987.5,
+      "train_steps_per_second": 58.749
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 13200,
+  "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": 2335961353872384.0,
+  "train_batch_size": 256,
+  "trial_name": null,
+  "trial_params": null
+}