End of training

README.md

@@ -1,13 +1,28 @@
 ---
 library_name: transformers
+language:
+- en
 base_model: Hartunka/bert_base_km_50_v2
 tags:
 - generated_from_trainer
+datasets:
+- glue
 metrics:
 - accuracy
 model-index:
 - name: bert_base_km_50_v2_rte
-  results: []
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: GLUE RTE
+      type: glue
+      args: rte
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.5342960288808665
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,10 +30,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bert_base_km_50_v2_rte
 
-This model is a fine-tuned version of [Hartunka/bert_base_km_50_v2](https://huggingface.co/Hartunka/bert_base_km_50_v2) on an unknown dataset.
+This model is a fine-tuned version of [Hartunka/bert_base_km_50_v2](https://huggingface.co/Hartunka/bert_base_km_50_v2) on the GLUE RTE dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.3163
-- Accuracy: 0.4982
+- Loss: 0.7080
+- Accuracy: 0.5343
 
 ## Model description
 

all_results.json

@@ -0,0 +1,15 @@
+{
+    "epoch": 7.0,
+    "eval_accuracy": 0.5342960288808665,
+    "eval_loss": 0.7080254554748535,
+    "eval_runtime": 0.2208,
+    "eval_samples": 277,
+    "eval_samples_per_second": 1254.417,
+    "eval_steps_per_second": 9.057,
+    "total_flos": 2293012847462400.0,
+    "train_loss": 0.5034336362566266,
+    "train_runtime": 44.046,
+    "train_samples": 2490,
+    "train_samples_per_second": 2826.591,
+    "train_steps_per_second": 11.352
+}

eval_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 7.0,
+    "eval_accuracy": 0.5342960288808665,
+    "eval_loss": 0.7080254554748535,
+    "eval_runtime": 0.2208,
+    "eval_samples": 277,
+    "eval_samples_per_second": 1254.417,
+    "eval_steps_per_second": 9.057
+}

logs/events.out.tfevents.1745418166.s_005_m.2876923.27

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:04ed66edb6735edc8c40b49f4af70c3a6ba3861f5d1224bff6117c49866a79cb
+size 357

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 7.0,
+    "total_flos": 2293012847462400.0,
+    "train_loss": 0.5034336362566266,
+    "train_runtime": 44.046,
+    "train_samples": 2490,
+    "train_samples_per_second": 2826.591,
+    "train_steps_per_second": 11.352
+}

trainer_state.json

@@ -0,0 +1,164 @@
+{
+  "best_global_step": 20,
+  "best_metric": 0.7080254554748535,
+  "best_model_checkpoint": "bert_base_km_50_v2_rte/checkpoint-20",
+  "epoch": 7.0,
+  "eval_steps": 500,
+  "global_step": 70,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 1.0,
+      "grad_norm": 1.3552422523498535,
+      "learning_rate": 4.9e-05,
+      "loss": 0.7063,
+      "step": 10
+    },
+    {
+      "epoch": 1.0,
+      "eval_accuracy": 0.49097472924187724,
+      "eval_loss": 0.7112971544265747,
+      "eval_runtime": 0.1885,
+      "eval_samples_per_second": 1469.814,
+      "eval_steps_per_second": 10.612,
+      "step": 10
+    },
+    {
+      "epoch": 2.0,
+      "grad_norm": 0.8892113566398621,
+      "learning_rate": 4.8e-05,
+      "loss": 0.6591,
+      "step": 20
+    },
+    {
+      "epoch": 2.0,
+      "eval_accuracy": 0.5342960288808665,
+      "eval_loss": 0.7080254554748535,
+      "eval_runtime": 0.1969,
+      "eval_samples_per_second": 1407.13,
+      "eval_steps_per_second": 10.16,
+      "step": 20
+    },
+    {
+      "epoch": 3.0,
+      "grad_norm": 1.0309181213378906,
+      "learning_rate": 4.7e-05,
+      "loss": 0.618,
+      "step": 30
+    },
+    {
+      "epoch": 3.0,
+      "eval_accuracy": 0.5018050541516246,
+      "eval_loss": 0.7251981496810913,
+      "eval_runtime": 0.2062,
+      "eval_samples_per_second": 1343.548,
+      "eval_steps_per_second": 9.701,
+      "step": 30
+    },
+    {
+      "epoch": 4.0,
+      "grad_norm": 1.105635643005371,
+      "learning_rate": 4.600000000000001e-05,
+      "loss": 0.5474,
+      "step": 40
+    },
+    {
+      "epoch": 4.0,
+      "eval_accuracy": 0.516245487364621,
+      "eval_loss": 0.7643619775772095,
+      "eval_runtime": 0.2054,
+      "eval_samples_per_second": 1348.411,
+      "eval_steps_per_second": 9.736,
+      "step": 40
+    },
+    {
+      "epoch": 5.0,
+      "grad_norm": 1.6433978080749512,
+      "learning_rate": 4.5e-05,
+      "loss": 0.4529,
+      "step": 50
+    },
+    {
+      "epoch": 5.0,
+      "eval_accuracy": 0.5270758122743683,
+      "eval_loss": 0.865513801574707,
+      "eval_runtime": 0.2028,
+      "eval_samples_per_second": 1365.882,
+      "eval_steps_per_second": 9.862,
+      "step": 50
+    },
+    {
+      "epoch": 6.0,
+      "grad_norm": 1.9883702993392944,
+      "learning_rate": 4.4000000000000006e-05,
+      "loss": 0.3237,
+      "step": 60
+    },
+    {
+      "epoch": 6.0,
+      "eval_accuracy": 0.4981949458483754,
+      "eval_loss": 1.0289877653121948,
+      "eval_runtime": 0.196,
+      "eval_samples_per_second": 1413.294,
+      "eval_steps_per_second": 10.204,
+      "step": 60
+    },
+    {
+      "epoch": 7.0,
+      "grad_norm": 3.0816502571105957,
+      "learning_rate": 4.3e-05,
+      "loss": 0.2168,
+      "step": 70
+    },
+    {
+      "epoch": 7.0,
+      "eval_accuracy": 0.4981949458483754,
+      "eval_loss": 1.3162751197814941,
+      "eval_runtime": 0.1965,
+      "eval_samples_per_second": 1409.347,
+      "eval_steps_per_second": 10.176,
+      "step": 70
+    },
+    {
+      "epoch": 7.0,
+      "step": 70,
+      "total_flos": 2293012847462400.0,
+      "train_loss": 0.5034336362566266,
+      "train_runtime": 44.046,
+      "train_samples_per_second": 2826.591,
+      "train_steps_per_second": 11.352
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 500,
+  "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": 2293012847462400.0,
+  "train_batch_size": 256,
+  "trial_name": null,
+  "trial_params": null
+}