End of training

README.md

@@ -1,13 +1,28 @@
 ---
 library_name: transformers
+language:
+- en
 base_model: Hartunka/tiny_bert_km_10_v2
 tags:
 - generated_from_trainer
+datasets:
+- glue
 metrics:
 - spearmanr
 model-index:
 - name: tiny_bert_km_10_v2_stsb
-  results: []
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: GLUE STSB
+      type: glue
+      args: stsb
+    metrics:
+    - name: Spearmanr
+      type: spearmanr
+      value: 0.10436822016561782
 ---
 
 <!-- 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. -->
 
 # tiny_bert_km_10_v2_stsb
 
-This model is a fine-tuned version of [Hartunka/tiny_bert_km_10_v2](https://huggingface.co/Hartunka/tiny_bert_km_10_v2) on an unknown dataset.
+This model is a fine-tuned version of [Hartunka/tiny_bert_km_10_v2](https://huggingface.co/Hartunka/tiny_bert_km_10_v2) on the GLUE STSB dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.3140
-- Pearson: 0.3267
-- Spearmanr: 0.3195
-- Combined Score: 0.3231
+- Loss: 2.2310
+- Pearson: 0.1086
+- Spearmanr: 0.1044
+- Combined Score: 0.1065
 
 ## Model description
 

all_results.json

@@ -0,0 +1,17 @@
+{
+    "epoch": 6.0,
+    "eval_combined_score": 0.10647189293092346,
+    "eval_loss": 2.231001615524292,
+    "eval_pearson": 0.1085755656962291,
+    "eval_runtime": 0.4855,
+    "eval_samples": 1500,
+    "eval_samples_per_second": 3089.493,
+    "eval_spearmanr": 0.10436822016561782,
+    "eval_steps_per_second": 12.358,
+    "total_flos": 904528923227136.0,
+    "train_loss": 1.9857357688572095,
+    "train_runtime": 25.6978,
+    "train_samples": 5749,
+    "train_samples_per_second": 11185.796,
+    "train_steps_per_second": 44.751
+}

eval_results.json

@@ -0,0 +1,11 @@
+{
+    "epoch": 6.0,
+    "eval_combined_score": 0.10647189293092346,
+    "eval_loss": 2.231001615524292,
+    "eval_pearson": 0.1085755656962291,
+    "eval_runtime": 0.4855,
+    "eval_samples": 1500,
+    "eval_samples_per_second": 3089.493,
+    "eval_spearmanr": 0.10436822016561782,
+    "eval_steps_per_second": 12.358
+}

logs/events.out.tfevents.1745276038.s_005_m.2836625.31

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:203d612b996e86372e43e8336e40b15072653a29192e9bef70eaf23a8d9e0ca2
+size 473

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 6.0,
+    "total_flos": 904528923227136.0,
+    "train_loss": 1.9857357688572095,
+    "train_runtime": 25.6978,
+    "train_samples": 5749,
+    "train_samples_per_second": 11185.796,
+    "train_steps_per_second": 44.751
+}

trainer_state.json

@@ -0,0 +1,160 @@
+{
+  "best_global_step": 23,
+  "best_metric": 2.231001615524292,
+  "best_model_checkpoint": "tiny_bert_km_10_v2_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": 3.4998087882995605,
+      "learning_rate": 4.9e-05,
+      "loss": 3.4768,
+      "step": 23
+    },
+    {
+      "epoch": 1.0,
+      "eval_combined_score": 0.10647189293092346,
+      "eval_loss": 2.231001615524292,
+      "eval_pearson": 0.1085755656962291,
+      "eval_runtime": 0.4473,
+      "eval_samples_per_second": 3353.208,
+      "eval_spearmanr": 0.10436822016561782,
+      "eval_steps_per_second": 13.413,
+      "step": 23
+    },
+    {
+      "epoch": 2.0,
+      "grad_norm": 5.5359883308410645,
+      "learning_rate": 4.8e-05,
+      "loss": 2.0479,
+      "step": 46
+    },
+    {
+      "epoch": 2.0,
+      "eval_combined_score": 0.16415000302973756,
+      "eval_loss": 2.444279432296753,
+      "eval_pearson": 0.16666248518393506,
+      "eval_runtime": 0.5098,
+      "eval_samples_per_second": 2942.467,
+      "eval_spearmanr": 0.16163752087554006,
+      "eval_steps_per_second": 11.77,
+      "step": 46
+    },
+    {
+      "epoch": 3.0,
+      "grad_norm": 6.075698375701904,
+      "learning_rate": 4.7e-05,
+      "loss": 1.9049,
+      "step": 69
+    },
+    {
+      "epoch": 3.0,
+      "eval_combined_score": 0.20889157319674626,
+      "eval_loss": 2.2881205081939697,
+      "eval_pearson": 0.21778903054526308,
+      "eval_runtime": 0.439,
+      "eval_samples_per_second": 3417.045,
+      "eval_spearmanr": 0.19999411584822943,
+      "eval_steps_per_second": 13.668,
+      "step": 69
+    },
+    {
+      "epoch": 4.0,
+      "grad_norm": 4.910608291625977,
+      "learning_rate": 4.600000000000001e-05,
+      "loss": 1.7247,
+      "step": 92
+    },
+    {
+      "epoch": 4.0,
+      "eval_combined_score": 0.27839785784759497,
+      "eval_loss": 2.4856960773468018,
+      "eval_pearson": 0.28412465271234644,
+      "eval_runtime": 0.439,
+      "eval_samples_per_second": 3416.509,
+      "eval_spearmanr": 0.27267106298284355,
+      "eval_steps_per_second": 13.666,
+      "step": 92
+    },
+    {
+      "epoch": 5.0,
+      "grad_norm": 7.410452365875244,
+      "learning_rate": 4.5e-05,
+      "loss": 1.4995,
+      "step": 115
+    },
+    {
+      "epoch": 5.0,
+      "eval_combined_score": 0.28896417503149296,
+      "eval_loss": 2.299758195877075,
+      "eval_pearson": 0.29489535524400456,
+      "eval_runtime": 0.5114,
+      "eval_samples_per_second": 2933.009,
+      "eval_spearmanr": 0.28303299481898136,
+      "eval_steps_per_second": 11.732,
+      "step": 115
+    },
+    {
+      "epoch": 6.0,
+      "grad_norm": 6.83831787109375,
+      "learning_rate": 4.4000000000000006e-05,
+      "loss": 1.2606,
+      "step": 138
+    },
+    {
+      "epoch": 6.0,
+      "eval_combined_score": 0.323121440564714,
+      "eval_loss": 2.3139901161193848,
+      "eval_pearson": 0.326728498013101,
+      "eval_runtime": 0.453,
+      "eval_samples_per_second": 3311.54,
+      "eval_spearmanr": 0.31951438311632696,
+      "eval_steps_per_second": 13.246,
+      "step": 138
+    },
+    {
+      "epoch": 6.0,
+      "step": 138,
+      "total_flos": 904528923227136.0,
+      "train_loss": 1.9857357688572095,
+      "train_runtime": 25.6978,
+      "train_samples_per_second": 11185.796,
+      "train_steps_per_second": 44.751
+    }
+  ],
+  "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": 904528923227136.0,
+  "train_batch_size": 256,
+  "trial_name": null,
+  "trial_params": null
+}