End of training

README.md

@@ -1,13 +1,28 @@
 ---
 library_name: transformers
+language:
+- en
 base_model: Hartunka/bert_base_km_10_v1
 tags:
 - generated_from_trainer
+datasets:
+- glue
 metrics:
 - spearmanr
 model-index:
 - name: bert_base_km_10_v1_stsb
-  results: []
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: GLUE STSB
+      type: glue
+      args: stsb
+    metrics:
+    - name: Spearmanr
+      type: spearmanr
+      value: 0.20741798107513082
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,12 +30,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bert_base_km_10_v1_stsb
 
-This model is a fine-tuned version of [Hartunka/bert_base_km_10_v1](https://huggingface.co/Hartunka/bert_base_km_10_v1) on an unknown dataset.
+This model is a fine-tuned version of [Hartunka/bert_base_km_10_v1](https://huggingface.co/Hartunka/bert_base_km_10_v1) on the GLUE STSB dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.5728
-- Pearson: 0.2738
-- Spearmanr: 0.2716
-- Combined Score: 0.2727
+- Loss: 2.1875
+- Pearson: 0.2207
+- Spearmanr: 0.2074
+- Combined Score: 0.2141
 
 ## Model description
 

all_results.json

@@ -0,0 +1,17 @@
+{
+    "epoch": 6.0,
+    "eval_combined_score": 0.21406400269142756,
+    "eval_loss": 2.187478542327881,
+    "eval_pearson": 0.2207100243077243,
+    "eval_runtime": 0.9523,
+    "eval_samples": 1500,
+    "eval_samples_per_second": 1575.077,
+    "eval_spearmanr": 0.20741798107513082,
+    "eval_steps_per_second": 6.3,
+    "total_flos": 4537835628033024.0,
+    "train_loss": 1.5832905009172964,
+    "train_runtime": 74.6338,
+    "train_samples": 5749,
+    "train_samples_per_second": 3851.471,
+    "train_steps_per_second": 15.409
+}

eval_results.json

@@ -0,0 +1,11 @@
+{
+    "epoch": 6.0,
+    "eval_combined_score": 0.21406400269142756,
+    "eval_loss": 2.187478542327881,
+    "eval_pearson": 0.2207100243077243,
+    "eval_runtime": 0.9523,
+    "eval_samples": 1500,
+    "eval_samples_per_second": 1575.077,
+    "eval_spearmanr": 0.20741798107513082,
+    "eval_steps_per_second": 6.3
+}

logs/events.out.tfevents.1745022344.s_005_m.2780655.13

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:646dfd823bb3c1d94f714bc74a225125f8552230f51523474bfdfc405d93a28c
+size 473

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 6.0,
+    "total_flos": 4537835628033024.0,
+    "train_loss": 1.5832905009172964,
+    "train_runtime": 74.6338,
+    "train_samples": 5749,
+    "train_samples_per_second": 3851.471,
+    "train_steps_per_second": 15.409
+}

trainer_state.json

@@ -0,0 +1,160 @@
+{
+  "best_global_step": 23,
+  "best_metric": 2.187478542327881,
+  "best_model_checkpoint": "bert_base_km_10_v1_stsb/checkpoint-23",
+  "epoch": 6.0,
+  "eval_steps": 500,
+  "global_step": 138,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 1.0,
+      "grad_norm": 3.9459848403930664,
+      "learning_rate": 4.9e-05,
+      "loss": 2.7027,
+      "step": 23
+    },
+    {
+      "epoch": 1.0,
+      "eval_combined_score": 0.21406400269142756,
+      "eval_loss": 2.187478542327881,
+      "eval_pearson": 0.2207100243077243,
+      "eval_runtime": 0.9709,
+      "eval_samples_per_second": 1544.887,
+      "eval_spearmanr": 0.20741798107513082,
+      "eval_steps_per_second": 6.18,
+      "step": 23
+    },
+    {
+      "epoch": 2.0,
+      "grad_norm": 10.513463973999023,
+      "learning_rate": 4.8e-05,
+      "loss": 1.9228,
+      "step": 46
+    },
+    {
+      "epoch": 2.0,
+      "eval_combined_score": 0.2302906062932306,
+      "eval_loss": 2.1904146671295166,
+      "eval_pearson": 0.23344625218227338,
+      "eval_runtime": 0.9664,
+      "eval_samples_per_second": 1552.129,
+      "eval_spearmanr": 0.2271349604041878,
+      "eval_steps_per_second": 6.209,
+      "step": 46
+    },
+    {
+      "epoch": 3.0,
+      "grad_norm": 6.263645172119141,
+      "learning_rate": 4.7e-05,
+      "loss": 1.6984,
+      "step": 69
+    },
+    {
+      "epoch": 3.0,
+      "eval_combined_score": 0.28164812059092836,
+      "eval_loss": 2.2391693592071533,
+      "eval_pearson": 0.28053417859824636,
+      "eval_runtime": 0.9545,
+      "eval_samples_per_second": 1571.51,
+      "eval_spearmanr": 0.28276206258361036,
+      "eval_steps_per_second": 6.286,
+      "step": 69
+    },
+    {
+      "epoch": 4.0,
+      "grad_norm": 9.83980655670166,
+      "learning_rate": 4.600000000000001e-05,
+      "loss": 1.3717,
+      "step": 92
+    },
+    {
+      "epoch": 4.0,
+      "eval_combined_score": 0.28480233161198865,
+      "eval_loss": 2.377173662185669,
+      "eval_pearson": 0.28509458425166595,
+      "eval_runtime": 0.982,
+      "eval_samples_per_second": 1527.5,
+      "eval_spearmanr": 0.28451007897231134,
+      "eval_steps_per_second": 6.11,
+      "step": 92
+    },
+    {
+      "epoch": 5.0,
+      "grad_norm": 11.876545906066895,
+      "learning_rate": 4.5e-05,
+      "loss": 1.044,
+      "step": 115
+    },
+    {
+      "epoch": 5.0,
+      "eval_combined_score": 0.3106563828141037,
+      "eval_loss": 2.494642972946167,
+      "eval_pearson": 0.30931274369904616,
+      "eval_runtime": 0.9476,
+      "eval_samples_per_second": 1582.949,
+      "eval_spearmanr": 0.31200002192916115,
+      "eval_steps_per_second": 6.332,
+      "step": 115
+    },
+    {
+      "epoch": 6.0,
+      "grad_norm": 9.593144416809082,
+      "learning_rate": 4.4000000000000006e-05,
+      "loss": 0.7602,
+      "step": 138
+    },
+    {
+      "epoch": 6.0,
+      "eval_combined_score": 0.27269630445966425,
+      "eval_loss": 2.5727880001068115,
+      "eval_pearson": 0.27378787732681964,
+      "eval_runtime": 1.0021,
+      "eval_samples_per_second": 1496.789,
+      "eval_spearmanr": 0.27160473159250886,
+      "eval_steps_per_second": 5.987,
+      "step": 138
+    },
+    {
+      "epoch": 6.0,
+      "step": 138,
+      "total_flos": 4537835628033024.0,
+      "train_loss": 1.5832905009172964,
+      "train_runtime": 74.6338,
+      "train_samples_per_second": 3851.471,
+      "train_steps_per_second": 15.409
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 1150,
+  "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": 4537835628033024.0,
+  "train_batch_size": 256,
+  "trial_name": null,
+  "trial_params": null
+}