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_sst2
-  results: []
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: GLUE SST2
+      type: glue
+      args: sst2
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.8096330275229358
 ---
 
 <!-- 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_sst2
 
-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 SST2 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8099
-- Accuracy: 0.7959
+- Loss: 0.4194
+- Accuracy: 0.8096
 
 ## Model description
 

all_results.json

@@ -0,0 +1,15 @@
+{
+    "epoch": 6.0,
+    "eval_accuracy": 0.8096330275229358,
+    "eval_loss": 0.4194400906562805,
+    "eval_runtime": 0.5831,
+    "eval_samples": 872,
+    "eval_samples_per_second": 1495.33,
+    "eval_steps_per_second": 6.859,
+    "total_flos": 5.316079940232192e+16,
+    "train_loss": 0.1871600572508995,
+    "train_runtime": 662.1873,
+    "train_samples": 67349,
+    "train_samples_per_second": 5085.344,
+    "train_steps_per_second": 19.934
+}

eval_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 6.0,
+    "eval_accuracy": 0.8096330275229358,
+    "eval_loss": 0.4194400906562805,
+    "eval_runtime": 0.5831,
+    "eval_samples": 872,
+    "eval_samples_per_second": 1495.33,
+    "eval_steps_per_second": 6.859
+}

logs/events.out.tfevents.1745418870.s_005_m.2876923.29

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0777adeceb86c56a3f4666bc439af8a813a16c1e7cc9fc03c6b4fff0d5b44004
+size 363

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 6.0,
+    "total_flos": 5.316079940232192e+16,
+    "train_loss": 0.1871600572508995,
+    "train_runtime": 662.1873,
+    "train_samples": 67349,
+    "train_samples_per_second": 5085.344,
+    "train_steps_per_second": 19.934
+}

trainer_state.json

@@ -0,0 +1,148 @@
+{
+  "best_global_step": 264,
+  "best_metric": 0.4194400906562805,
+  "best_model_checkpoint": "bert_base_km_50_v2_sst2/checkpoint-264",
+  "epoch": 6.0,
+  "eval_steps": 500,
+  "global_step": 1584,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 1.0,
+      "grad_norm": 5.911167621612549,
+      "learning_rate": 4.9e-05,
+      "loss": 0.4224,
+      "step": 264
+    },
+    {
+      "epoch": 1.0,
+      "eval_accuracy": 0.8096330275229358,
+      "eval_loss": 0.4194400906562805,
+      "eval_runtime": 0.5637,
+      "eval_samples_per_second": 1547.008,
+      "eval_steps_per_second": 7.096,
+      "step": 264
+    },
+    {
+      "epoch": 2.0,
+      "grad_norm": 7.654995441436768,
+      "learning_rate": 4.8e-05,
+      "loss": 0.2319,
+      "step": 528
+    },
+    {
+      "epoch": 2.0,
+      "eval_accuracy": 0.8119266055045872,
+      "eval_loss": 0.49020224809646606,
+      "eval_runtime": 0.5809,
+      "eval_samples_per_second": 1501.103,
+      "eval_steps_per_second": 6.886,
+      "step": 528
+    },
+    {
+      "epoch": 3.0,
+      "grad_norm": 4.036953449249268,
+      "learning_rate": 4.7e-05,
+      "loss": 0.1678,
+      "step": 792
+    },
+    {
+      "epoch": 3.0,
+      "eval_accuracy": 0.7993119266055045,
+      "eval_loss": 0.6837111711502075,
+      "eval_runtime": 0.5879,
+      "eval_samples_per_second": 1483.323,
+      "eval_steps_per_second": 6.804,
+      "step": 792
+    },
+    {
+      "epoch": 4.0,
+      "grad_norm": 3.281073808670044,
+      "learning_rate": 4.600000000000001e-05,
+      "loss": 0.1273,
+      "step": 1056
+    },
+    {
+      "epoch": 4.0,
+      "eval_accuracy": 0.8004587155963303,
+      "eval_loss": 0.6079096794128418,
+      "eval_runtime": 0.5653,
+      "eval_samples_per_second": 1542.593,
+      "eval_steps_per_second": 7.076,
+      "step": 1056
+    },
+    {
+      "epoch": 5.0,
+      "grad_norm": 11.367756843566895,
+      "learning_rate": 4.5e-05,
+      "loss": 0.099,
+      "step": 1320
+    },
+    {
+      "epoch": 5.0,
+      "eval_accuracy": 0.7924311926605505,
+      "eval_loss": 0.6167923212051392,
+      "eval_runtime": 0.5695,
+      "eval_samples_per_second": 1531.084,
+      "eval_steps_per_second": 7.023,
+      "step": 1320
+    },
+    {
+      "epoch": 6.0,
+      "grad_norm": 5.729939937591553,
+      "learning_rate": 4.4000000000000006e-05,
+      "loss": 0.0746,
+      "step": 1584
+    },
+    {
+      "epoch": 6.0,
+      "eval_accuracy": 0.7958715596330275,
+      "eval_loss": 0.8099145293235779,
+      "eval_runtime": 0.5645,
+      "eval_samples_per_second": 1544.861,
+      "eval_steps_per_second": 7.087,
+      "step": 1584
+    },
+    {
+      "epoch": 6.0,
+      "step": 1584,
+      "total_flos": 5.316079940232192e+16,
+      "train_loss": 0.1871600572508995,
+      "train_runtime": 662.1873,
+      "train_samples_per_second": 5085.344,
+      "train_steps_per_second": 19.934
+    }
+  ],
+  "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": 5.316079940232192e+16,
+  "train_batch_size": 256,
+  "trial_name": null,
+  "trial_params": null
+}