End of training

README.md

@@ -1,13 +1,28 @@
 ---
 library_name: transformers
+language:
+- en
 base_model: Hartunka/tiny_bert_km_20_v2
 tags:
 - generated_from_trainer
+datasets:
+- glue
 metrics:
 - spearmanr
 model-index:
 - name: tiny_bert_km_20_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: 0.08663127001141242
 ---
 
 <!-- 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_20_v2_stsb
 
-This model is a fine-tuned version of [Hartunka/tiny_bert_km_20_v2](https://huggingface.co/Hartunka/tiny_bert_km_20_v2) on an unknown dataset.
+This model is a fine-tuned version of [Hartunka/tiny_bert_km_20_v2](https://huggingface.co/Hartunka/tiny_bert_km_20_v2) on the GLUE STSB dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.4211
-- Pearson: 0.2662
-- Spearmanr: 0.2640
-- Combined Score: 0.2651
+- Loss: 2.2511
+- Pearson: 0.0929
+- Spearmanr: 0.0866
+- Combined Score: 0.0898
 
 ## Model description
 

all_results.json

@@ -0,0 +1,17 @@
+{
+    "epoch": 6.0,
+    "eval_combined_score": 0.08975404205501787,
+    "eval_loss": 2.251096725463867,
+    "eval_pearson": 0.09287681409862332,
+    "eval_runtime": 0.468,
+    "eval_samples": 1500,
+    "eval_samples_per_second": 3205.158,
+    "eval_spearmanr": 0.08663127001141242,
+    "eval_steps_per_second": 12.821,
+    "total_flos": 904528923227136.0,
+    "train_loss": 2.060001290362814,
+    "train_runtime": 25.4652,
+    "train_samples": 5749,
+    "train_samples_per_second": 11287.959,
+    "train_steps_per_second": 45.16
+}

eval_results.json

@@ -0,0 +1,11 @@
+{
+    "epoch": 6.0,
+    "eval_combined_score": 0.08975404205501787,
+    "eval_loss": 2.251096725463867,
+    "eval_pearson": 0.09287681409862332,
+    "eval_runtime": 0.468,
+    "eval_samples": 1500,
+    "eval_samples_per_second": 3205.158,
+    "eval_spearmanr": 0.08663127001141242,
+    "eval_steps_per_second": 12.821
+}

logs/events.out.tfevents.1745281066.s_005_m.2836625.49

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f89dd1e0bcac1677ded8044c0a2b46f3888aacc94729bea0f2f6a957db51ae4c
+size 473

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 6.0,
+    "total_flos": 904528923227136.0,
+    "train_loss": 2.060001290362814,
+    "train_runtime": 25.4652,
+    "train_samples": 5749,
+    "train_samples_per_second": 11287.959,
+    "train_steps_per_second": 45.16
+}

trainer_state.json

@@ -0,0 +1,160 @@
+{
+  "best_global_step": 23,
+  "best_metric": 2.251096725463867,
+  "best_model_checkpoint": "tiny_bert_km_20_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": 4.101377487182617,
+      "learning_rate": 4.9e-05,
+      "loss": 3.587,
+      "step": 23
+    },
+    {
+      "epoch": 1.0,
+      "eval_combined_score": 0.08975404205501787,
+      "eval_loss": 2.251096725463867,
+      "eval_pearson": 0.09287681409862332,
+      "eval_runtime": 0.4548,
+      "eval_samples_per_second": 3297.889,
+      "eval_spearmanr": 0.08663127001141242,
+      "eval_steps_per_second": 13.192,
+      "step": 23
+    },
+    {
+      "epoch": 2.0,
+      "grad_norm": 4.866882801055908,
+      "learning_rate": 4.8e-05,
+      "loss": 2.048,
+      "step": 46
+    },
+    {
+      "epoch": 2.0,
+      "eval_combined_score": 0.1328824379643906,
+      "eval_loss": 2.480339765548706,
+      "eval_pearson": 0.1372525837029327,
+      "eval_runtime": 0.4811,
+      "eval_samples_per_second": 3118.032,
+      "eval_spearmanr": 0.12851229222584845,
+      "eval_steps_per_second": 12.472,
+      "step": 46
+    },
+    {
+      "epoch": 3.0,
+      "grad_norm": 3.108093500137329,
+      "learning_rate": 4.7e-05,
+      "loss": 1.919,
+      "step": 69
+    },
+    {
+      "epoch": 3.0,
+      "eval_combined_score": 0.15576252510849337,
+      "eval_loss": 2.369476318359375,
+      "eval_pearson": 0.15979532124431572,
+      "eval_runtime": 0.4988,
+      "eval_samples_per_second": 3007.003,
+      "eval_spearmanr": 0.15172972897267104,
+      "eval_steps_per_second": 12.028,
+      "step": 69
+    },
+    {
+      "epoch": 4.0,
+      "grad_norm": 5.165529727935791,
+      "learning_rate": 4.600000000000001e-05,
+      "loss": 1.8084,
+      "step": 92
+    },
+    {
+      "epoch": 4.0,
+      "eval_combined_score": 0.2241098720221349,
+      "eval_loss": 2.482461929321289,
+      "eval_pearson": 0.22656618416233015,
+      "eval_runtime": 0.4453,
+      "eval_samples_per_second": 3368.187,
+      "eval_spearmanr": 0.2216535598819396,
+      "eval_steps_per_second": 13.473,
+      "step": 92
+    },
+    {
+      "epoch": 5.0,
+      "grad_norm": 9.7904634475708,
+      "learning_rate": 4.5e-05,
+      "loss": 1.6039,
+      "step": 115
+    },
+    {
+      "epoch": 5.0,
+      "eval_combined_score": 0.20435892402954994,
+      "eval_loss": 2.5223915576934814,
+      "eval_pearson": 0.20516208329641367,
+      "eval_runtime": 0.5032,
+      "eval_samples_per_second": 2981.028,
+      "eval_spearmanr": 0.20355576476268622,
+      "eval_steps_per_second": 11.924,
+      "step": 115
+    },
+    {
+      "epoch": 6.0,
+      "grad_norm": 7.459550380706787,
+      "learning_rate": 4.4000000000000006e-05,
+      "loss": 1.3938,
+      "step": 138
+    },
+    {
+      "epoch": 6.0,
+      "eval_combined_score": 0.26507947253641295,
+      "eval_loss": 2.42105770111084,
+      "eval_pearson": 0.26619993340482795,
+      "eval_runtime": 0.4538,
+      "eval_samples_per_second": 3305.359,
+      "eval_spearmanr": 0.2639590116679979,
+      "eval_steps_per_second": 13.221,
+      "step": 138
+    },
+    {
+      "epoch": 6.0,
+      "step": 138,
+      "total_flos": 904528923227136.0,
+      "train_loss": 2.060001290362814,
+      "train_runtime": 25.4652,
+      "train_samples_per_second": 11287.959,
+      "train_steps_per_second": 45.16
+    }
+  ],
+  "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
+}