End of training

README.md

@@ -1,14 +1,32 @@
 ---
 library_name: transformers
+language:
+- en
 base_model: Hartunka/distilbert_rand_10_v2
 tags:
 - generated_from_trainer
+datasets:
+- glue
 metrics:
 - accuracy
 - f1
 model-index:
 - name: distilbert_rand_10_v2_mrpc
-  results: []
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: GLUE MRPC
+      type: glue
+      args: mrpc
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.6838235294117647
+    - name: F1
+      type: f1
+      value: 0.7867768595041322
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,12 +34,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 # distilbert_rand_10_v2_mrpc
 
-This model is a fine-tuned version of [Hartunka/distilbert_rand_10_v2](https://huggingface.co/Hartunka/distilbert_rand_10_v2) on an unknown dataset.
+This model is a fine-tuned version of [Hartunka/distilbert_rand_10_v2](https://huggingface.co/Hartunka/distilbert_rand_10_v2) on the GLUE MRPC dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.5317
-- Accuracy: 0.6324
-- F1: 0.7243
-- Combined Score: 0.6783
+- Loss: 0.5786
+- Accuracy: 0.6838
+- F1: 0.7868
+- Combined Score: 0.7353
 
 ## Model description
 

all_results.json

@@ -0,0 +1,17 @@
+{
+    "epoch": 7.0,
+    "eval_accuracy": 0.6838235294117647,
+    "eval_combined_score": 0.7353001944579485,
+    "eval_f1": 0.7867768595041322,
+    "eval_loss": 0.5786468386650085,
+    "eval_runtime": 0.2051,
+    "eval_samples": 408,
+    "eval_samples_per_second": 1989.019,
+    "eval_steps_per_second": 9.75,
+    "total_flos": 1700616463945728.0,
+    "train_loss": 0.37131280444917225,
+    "train_runtime": 34.4007,
+    "train_samples": 3668,
+    "train_samples_per_second": 5331.28,
+    "train_steps_per_second": 21.802
+}

eval_results.json

@@ -0,0 +1,11 @@
+{
+    "epoch": 7.0,
+    "eval_accuracy": 0.6838235294117647,
+    "eval_combined_score": 0.7353001944579485,
+    "eval_f1": 0.7867768595041322,
+    "eval_loss": 0.5786468386650085,
+    "eval_runtime": 0.2051,
+    "eval_samples": 408,
+    "eval_samples_per_second": 1989.019,
+    "eval_steps_per_second": 9.75
+}

logs/events.out.tfevents.1745354005.s_005_m.2850345.111

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a9ef1af665fa3a32144e8cf8ba4621f3cf166518619009a6e8df825ac14e4ee5
+size 459

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 7.0,
+    "total_flos": 1700616463945728.0,
+    "train_loss": 0.37131280444917225,
+    "train_runtime": 34.4007,
+    "train_samples": 3668,
+    "train_samples_per_second": 5331.28,
+    "train_steps_per_second": 21.802
+}

trainer_state.json

@@ -0,0 +1,178 @@
+{
+  "best_global_step": 30,
+  "best_metric": 0.5786468386650085,
+  "best_model_checkpoint": "distilbert_rand_10_v2_mrpc/checkpoint-30",
+  "epoch": 7.0,
+  "eval_steps": 500,
+  "global_step": 105,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 1.0,
+      "grad_norm": 1.2592852115631104,
+      "learning_rate": 4.9e-05,
+      "loss": 0.6329,
+      "step": 15
+    },
+    {
+      "epoch": 1.0,
+      "eval_accuracy": 0.6862745098039216,
+      "eval_combined_score": 0.7405731523378583,
+      "eval_f1": 0.7948717948717948,
+      "eval_loss": 0.5951622128486633,
+      "eval_runtime": 0.1804,
+      "eval_samples_per_second": 2261.454,
+      "eval_steps_per_second": 11.086,
+      "step": 15
+    },
+    {
+      "epoch": 2.0,
+      "grad_norm": 1.6964359283447266,
+      "learning_rate": 4.8e-05,
+      "loss": 0.5742,
+      "step": 30
+    },
+    {
+      "epoch": 2.0,
+      "eval_accuracy": 0.6838235294117647,
+      "eval_combined_score": 0.7353001944579485,
+      "eval_f1": 0.7867768595041322,
+      "eval_loss": 0.5786468386650085,
+      "eval_runtime": 0.2075,
+      "eval_samples_per_second": 1966.351,
+      "eval_steps_per_second": 9.639,
+      "step": 30
+    },
+    {
+      "epoch": 3.0,
+      "grad_norm": 1.5742881298065186,
+      "learning_rate": 4.7e-05,
+      "loss": 0.5006,
+      "step": 45
+    },
+    {
+      "epoch": 3.0,
+      "eval_accuracy": 0.6838235294117647,
+      "eval_combined_score": 0.7370337159253946,
+      "eval_f1": 0.7902439024390244,
+      "eval_loss": 0.6243956089019775,
+      "eval_runtime": 0.2003,
+      "eval_samples_per_second": 2037.374,
+      "eval_steps_per_second": 9.987,
+      "step": 45
+    },
+    {
+      "epoch": 4.0,
+      "grad_norm": 4.952268600463867,
+      "learning_rate": 4.600000000000001e-05,
+      "loss": 0.3971,
+      "step": 60
+    },
+    {
+      "epoch": 4.0,
+      "eval_accuracy": 0.7009803921568627,
+      "eval_combined_score": 0.7491612924239464,
+      "eval_f1": 0.7973421926910299,
+      "eval_loss": 0.7714180946350098,
+      "eval_runtime": 0.2098,
+      "eval_samples_per_second": 1944.851,
+      "eval_steps_per_second": 9.534,
+      "step": 60
+    },
+    {
+      "epoch": 5.0,
+      "grad_norm": 3.923924446105957,
+      "learning_rate": 4.5e-05,
+      "loss": 0.2599,
+      "step": 75
+    },
+    {
+      "epoch": 5.0,
+      "eval_accuracy": 0.6642156862745098,
+      "eval_combined_score": 0.7082380420522639,
+      "eval_f1": 0.7522603978300181,
+      "eval_loss": 0.9506104588508606,
+      "eval_runtime": 0.2172,
+      "eval_samples_per_second": 1878.407,
+      "eval_steps_per_second": 9.208,
+      "step": 75
+    },
+    {
+      "epoch": 6.0,
+      "grad_norm": 3.3849189281463623,
+      "learning_rate": 4.4000000000000006e-05,
+      "loss": 0.1453,
+      "step": 90
+    },
+    {
+      "epoch": 6.0,
+      "eval_accuracy": 0.6397058823529411,
+      "eval_combined_score": 0.6834893048128342,
+      "eval_f1": 0.7272727272727273,
+      "eval_loss": 1.2577589750289917,
+      "eval_runtime": 0.185,
+      "eval_samples_per_second": 2205.778,
+      "eval_steps_per_second": 10.813,
+      "step": 90
+    },
+    {
+      "epoch": 7.0,
+      "grad_norm": 5.978302001953125,
+      "learning_rate": 4.3e-05,
+      "loss": 0.0893,
+      "step": 105
+    },
+    {
+      "epoch": 7.0,
+      "eval_accuracy": 0.6323529411764706,
+      "eval_combined_score": 0.6783088235294117,
+      "eval_f1": 0.7242647058823529,
+      "eval_loss": 1.5317364931106567,
+      "eval_runtime": 0.1809,
+      "eval_samples_per_second": 2255.284,
+      "eval_steps_per_second": 11.055,
+      "step": 105
+    },
+    {
+      "epoch": 7.0,
+      "step": 105,
+      "total_flos": 1700616463945728.0,
+      "train_loss": 0.37131280444917225,
+      "train_runtime": 34.4007,
+      "train_samples_per_second": 5331.28,
+      "train_steps_per_second": 21.802
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 750,
+  "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": 1700616463945728.0,
+  "train_batch_size": 256,
+  "trial_name": null,
+  "trial_params": null
+}