End of training

README.md

@@ -1,13 +1,28 @@
 ---
 library_name: transformers
+language:
+- en
 base_model: Hartunka/tiny_bert_km_20_v1
 tags:
 - generated_from_trainer
+datasets:
+- glue
 metrics:
 - spearmanr
 model-index:
 - name: tiny_bert_km_20_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: 0.18255394767479743
 ---
 
 <!-- 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_v1_stsb
 
-This model is a fine-tuned version of [Hartunka/tiny_bert_km_20_v1](https://huggingface.co/Hartunka/tiny_bert_km_20_v1) on an unknown dataset.
+This model is a fine-tuned version of [Hartunka/tiny_bert_km_20_v1](https://huggingface.co/Hartunka/tiny_bert_km_20_v1) on the GLUE STSB dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.5107
-- Pearson: 0.2682
-- Spearmanr: 0.2598
-- Combined Score: 0.2640
+- Loss: 2.1600
+- Pearson: 0.2054
+- Spearmanr: 0.1826
+- Combined Score: 0.1940
 
 ## Model description
 

all_results.json

@@ -0,0 +1,17 @@
+{
+    "epoch": 6.0,
+    "eval_combined_score": 0.19396406848906156,
+    "eval_loss": 2.1600451469421387,
+    "eval_pearson": 0.20537418930332568,
+    "eval_runtime": 0.457,
+    "eval_samples": 1500,
+    "eval_samples_per_second": 3282.168,
+    "eval_spearmanr": 0.18255394767479743,
+    "eval_steps_per_second": 13.129,
+    "total_flos": 904528923227136.0,
+    "train_loss": 2.0324475385140683,
+    "train_runtime": 26.2914,
+    "train_samples": 5749,
+    "train_samples_per_second": 10933.235,
+    "train_steps_per_second": 43.741
+}

eval_results.json

@@ -0,0 +1,11 @@
+{
+    "epoch": 6.0,
+    "eval_combined_score": 0.19396406848906156,
+    "eval_loss": 2.1600451469421387,
+    "eval_pearson": 0.20537418930332568,
+    "eval_runtime": 0.457,
+    "eval_samples": 1500,
+    "eval_samples_per_second": 3282.168,
+    "eval_spearmanr": 0.18255394767479743,
+    "eval_steps_per_second": 13.129
+}

logs/events.out.tfevents.1744640601.s_005_m.2701049.49

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6eca49963e08a0c7bdde1a9bf57fd0925dd6c0f249e15a829419118dfb598daa
+size 473

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 6.0,
+    "total_flos": 904528923227136.0,
+    "train_loss": 2.0324475385140683,
+    "train_runtime": 26.2914,
+    "train_samples": 5749,
+    "train_samples_per_second": 10933.235,
+    "train_steps_per_second": 43.741
+}

trainer_state.json

@@ -0,0 +1,160 @@
+{
+  "best_global_step": 23,
+  "best_metric": 2.1600451469421387,
+  "best_model_checkpoint": "tiny_bert_km_20_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": 3.770402193069458,
+      "learning_rate": 4.9e-05,
+      "loss": 3.6231,
+      "step": 23
+    },
+    {
+      "epoch": 1.0,
+      "eval_combined_score": 0.19396406848906156,
+      "eval_loss": 2.1600451469421387,
+      "eval_pearson": 0.20537418930332568,
+      "eval_runtime": 0.4748,
+      "eval_samples_per_second": 3159.294,
+      "eval_spearmanr": 0.18255394767479743,
+      "eval_steps_per_second": 12.637,
+      "step": 23
+    },
+    {
+      "epoch": 2.0,
+      "grad_norm": 6.684188365936279,
+      "learning_rate": 4.8e-05,
+      "loss": 2.0508,
+      "step": 46
+    },
+    {
+      "epoch": 2.0,
+      "eval_combined_score": 0.1810634046412402,
+      "eval_loss": 2.4198853969573975,
+      "eval_pearson": 0.1847198870941592,
+      "eval_runtime": 0.5271,
+      "eval_samples_per_second": 2845.493,
+      "eval_spearmanr": 0.17740692218832121,
+      "eval_steps_per_second": 11.382,
+      "step": 46
+    },
+    {
+      "epoch": 3.0,
+      "grad_norm": 5.661541938781738,
+      "learning_rate": 4.7e-05,
+      "loss": 1.9051,
+      "step": 69
+    },
+    {
+      "epoch": 3.0,
+      "eval_combined_score": 0.21541159126992399,
+      "eval_loss": 2.338207960128784,
+      "eval_pearson": 0.2217260864077553,
+      "eval_runtime": 0.4942,
+      "eval_samples_per_second": 3035.21,
+      "eval_spearmanr": 0.20909709613209265,
+      "eval_steps_per_second": 12.141,
+      "step": 69
+    },
+    {
+      "epoch": 4.0,
+      "grad_norm": 11.7733154296875,
+      "learning_rate": 4.600000000000001e-05,
+      "loss": 1.7517,
+      "step": 92
+    },
+    {
+      "epoch": 4.0,
+      "eval_combined_score": 0.25634348434597354,
+      "eval_loss": 2.2891106605529785,
+      "eval_pearson": 0.26020001612461785,
+      "eval_runtime": 0.4734,
+      "eval_samples_per_second": 3168.487,
+      "eval_spearmanr": 0.2524869525673293,
+      "eval_steps_per_second": 12.674,
+      "step": 92
+    },
+    {
+      "epoch": 5.0,
+      "grad_norm": 8.230708122253418,
+      "learning_rate": 4.5e-05,
+      "loss": 1.5284,
+      "step": 115
+    },
+    {
+      "epoch": 5.0,
+      "eval_combined_score": 0.27502552587763496,
+      "eval_loss": 2.3171780109405518,
+      "eval_pearson": 0.2781794019323813,
+      "eval_runtime": 0.4742,
+      "eval_samples_per_second": 3162.955,
+      "eval_spearmanr": 0.27187164982288864,
+      "eval_steps_per_second": 12.652,
+      "step": 115
+    },
+    {
+      "epoch": 6.0,
+      "grad_norm": 10.2731351852417,
+      "learning_rate": 4.4000000000000006e-05,
+      "loss": 1.3355,
+      "step": 138
+    },
+    {
+      "epoch": 6.0,
+      "eval_combined_score": 0.2639794858629222,
+      "eval_loss": 2.5106892585754395,
+      "eval_pearson": 0.2681793879674212,
+      "eval_runtime": 0.4619,
+      "eval_samples_per_second": 3247.795,
+      "eval_spearmanr": 0.25977958375842314,
+      "eval_steps_per_second": 12.991,
+      "step": 138
+    },
+    {
+      "epoch": 6.0,
+      "step": 138,
+      "total_flos": 904528923227136.0,
+      "train_loss": 2.0324475385140683,
+      "train_runtime": 26.2914,
+      "train_samples_per_second": 10933.235,
+      "train_steps_per_second": 43.741
+    }
+  ],
+  "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
+}