End of training

README.md

@@ -1,13 +1,28 @@
 ---
 library_name: transformers
+language:
+- en
 base_model: Hartunka/distilbert_km_10_v2
 tags:
 - generated_from_trainer
+datasets:
+- glue
 metrics:
 - spearmanr
 model-index:
 - name: distilbert_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: 0.13946531498605738
 ---
 
 <!-- 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. -->
 
 # distilbert_km_10_v2_stsb
 
-This model is a fine-tuned version of [Hartunka/distilbert_km_10_v2](https://huggingface.co/Hartunka/distilbert_km_10_v2) on an unknown dataset.
+This model is a fine-tuned version of [Hartunka/distilbert_km_10_v2](https://huggingface.co/Hartunka/distilbert_km_10_v2) on the GLUE STSB dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.4831
-- Pearson: 0.3132
-- Spearmanr: 0.3131
-- Combined Score: 0.3131
+- Loss: 2.3083
+- Pearson: 0.1515
+- Spearmanr: 0.1395
+- Combined Score: 0.1455
 
 ## Model description
 

all_results.json

@@ -0,0 +1,17 @@
+{
+    "epoch": 6.0,
+    "eval_combined_score": 0.14546301722281513,
+    "eval_loss": 2.308342695236206,
+    "eval_pearson": 0.1514607194595729,
+    "eval_runtime": 0.6563,
+    "eval_samples": 1500,
+    "eval_samples_per_second": 2285.429,
+    "eval_spearmanr": 0.13946531498605738,
+    "eval_steps_per_second": 9.142,
+    "total_flos": 2284624480859136.0,
+    "train_loss": 1.6755805913952813,
+    "train_runtime": 44.153,
+    "train_samples": 5749,
+    "train_samples_per_second": 6510.321,
+    "train_steps_per_second": 26.046
+}

eval_results.json

@@ -0,0 +1,11 @@
+{
+    "epoch": 6.0,
+    "eval_combined_score": 0.14546301722281513,
+    "eval_loss": 2.308342695236206,
+    "eval_pearson": 0.1514607194595729,
+    "eval_runtime": 0.6563,
+    "eval_samples": 1500,
+    "eval_samples_per_second": 2285.429,
+    "eval_spearmanr": 0.13946531498605738,
+    "eval_steps_per_second": 9.142
+}

logs/events.out.tfevents.1745318768.s_005_m.2850345.31

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:79a3fed67400181a59e52ffc31f870998d1ad10806463d4ac918592d13cd3368
+size 473

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 6.0,
+    "total_flos": 2284624480859136.0,
+    "train_loss": 1.6755805913952813,
+    "train_runtime": 44.153,
+    "train_samples": 5749,
+    "train_samples_per_second": 6510.321,
+    "train_steps_per_second": 26.046
+}

trainer_state.json

@@ -0,0 +1,160 @@
+{
+  "best_global_step": 23,
+  "best_metric": 2.308342695236206,
+  "best_model_checkpoint": "distilbert_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": 4.890619277954102,
+      "learning_rate": 4.9e-05,
+      "loss": 3.0233,
+      "step": 23
+    },
+    {
+      "epoch": 1.0,
+      "eval_combined_score": 0.14546301722281513,
+      "eval_loss": 2.308342695236206,
+      "eval_pearson": 0.1514607194595729,
+      "eval_runtime": 0.6274,
+      "eval_samples_per_second": 2390.705,
+      "eval_spearmanr": 0.13946531498605738,
+      "eval_steps_per_second": 9.563,
+      "step": 23
+    },
+    {
+      "epoch": 2.0,
+      "grad_norm": 4.947163105010986,
+      "learning_rate": 4.8e-05,
+      "loss": 1.9441,
+      "step": 46
+    },
+    {
+      "epoch": 2.0,
+      "eval_combined_score": 0.1680556586508381,
+      "eval_loss": 2.496310234069824,
+      "eval_pearson": 0.17750219984139104,
+      "eval_runtime": 0.6282,
+      "eval_samples_per_second": 2387.816,
+      "eval_spearmanr": 0.15860911746028514,
+      "eval_steps_per_second": 9.551,
+      "step": 46
+    },
+    {
+      "epoch": 3.0,
+      "grad_norm": 7.757569789886475,
+      "learning_rate": 4.7e-05,
+      "loss": 1.6958,
+      "step": 69
+    },
+    {
+      "epoch": 3.0,
+      "eval_combined_score": 0.21327894535996159,
+      "eval_loss": 2.3428003787994385,
+      "eval_pearson": 0.22355298733190435,
+      "eval_runtime": 0.668,
+      "eval_samples_per_second": 2245.459,
+      "eval_spearmanr": 0.20300490338801883,
+      "eval_steps_per_second": 8.982,
+      "step": 69
+    },
+    {
+      "epoch": 4.0,
+      "grad_norm": 6.711005210876465,
+      "learning_rate": 4.600000000000001e-05,
+      "loss": 1.428,
+      "step": 92
+    },
+    {
+      "epoch": 4.0,
+      "eval_combined_score": 0.2606544358399977,
+      "eval_loss": 2.5911128520965576,
+      "eval_pearson": 0.2649052185675204,
+      "eval_runtime": 0.622,
+      "eval_samples_per_second": 2411.553,
+      "eval_spearmanr": 0.25640365311247504,
+      "eval_steps_per_second": 9.646,
+      "step": 92
+    },
+    {
+      "epoch": 5.0,
+      "grad_norm": 9.803565979003906,
+      "learning_rate": 4.5e-05,
+      "loss": 1.1342,
+      "step": 115
+    },
+    {
+      "epoch": 5.0,
+      "eval_combined_score": 0.2964874473964536,
+      "eval_loss": 2.484288215637207,
+      "eval_pearson": 0.29901417650483925,
+      "eval_runtime": 0.6958,
+      "eval_samples_per_second": 2155.696,
+      "eval_spearmanr": 0.29396071828806797,
+      "eval_steps_per_second": 8.623,
+      "step": 115
+    },
+    {
+      "epoch": 6.0,
+      "grad_norm": 8.161381721496582,
+      "learning_rate": 4.4000000000000006e-05,
+      "loss": 0.828,
+      "step": 138
+    },
+    {
+      "epoch": 6.0,
+      "eval_combined_score": 0.31314439435783836,
+      "eval_loss": 2.4830892086029053,
+      "eval_pearson": 0.3131639464327934,
+      "eval_runtime": 0.733,
+      "eval_samples_per_second": 2046.29,
+      "eval_spearmanr": 0.31312484228288334,
+      "eval_steps_per_second": 8.185,
+      "step": 138
+    },
+    {
+      "epoch": 6.0,
+      "step": 138,
+      "total_flos": 2284624480859136.0,
+      "train_loss": 1.6755805913952813,
+      "train_runtime": 44.153,
+      "train_samples_per_second": 6510.321,
+      "train_steps_per_second": 26.046
+    }
+  ],
+  "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": 2284624480859136.0,
+  "train_batch_size": 256,
+  "trial_name": null,
+  "trial_params": null
+}