End of training

README.md

@@ -1,13 +1,28 @@
 ---
 library_name: transformers
+language:
+- en
 base_model: Hartunka/tiny_bert_rand_5_v2
 tags:
 - generated_from_trainer
+datasets:
+- glue
 metrics:
 - accuracy
 model-index:
 - name: tiny_bert_rand_5_v2_qnli
-  results: []
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: GLUE QNLI
+      type: glue
+      args: qnli
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.6267618524620172
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,10 +30,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # tiny_bert_rand_5_v2_qnli
 
-This model is a fine-tuned version of [Hartunka/tiny_bert_rand_5_v2](https://huggingface.co/Hartunka/tiny_bert_rand_5_v2) on an unknown dataset.
+This model is a fine-tuned version of [Hartunka/tiny_bert_rand_5_v2](https://huggingface.co/Hartunka/tiny_bert_rand_5_v2) on the GLUE QNLI dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0397
-- Accuracy: 0.6042
+- Loss: 0.6468
+- Accuracy: 0.6268
 
 ## Model description
 

all_results.json

@@ -0,0 +1,15 @@
+{
+    "epoch": 7.0,
+    "eval_accuracy": 0.6267618524620172,
+    "eval_loss": 0.6467869877815247,
+    "eval_runtime": 1.5887,
+    "eval_samples": 5463,
+    "eval_samples_per_second": 3438.765,
+    "eval_steps_per_second": 13.848,
+    "total_flos": 1.922715369529651e+16,
+    "train_loss": 0.522213314468437,
+    "train_runtime": 400.0579,
+    "train_samples": 104743,
+    "train_samples_per_second": 13090.981,
+    "train_steps_per_second": 51.243
+}

eval_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 7.0,
+    "eval_accuracy": 0.6267618524620172,
+    "eval_loss": 0.6467869877815247,
+    "eval_runtime": 1.5887,
+    "eval_samples": 5463,
+    "eval_samples_per_second": 3438.765,
+    "eval_steps_per_second": 13.848
+}

logs/events.out.tfevents.1745293426.s_005_m.2836625.95

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ec288d88606c096a437cc51afc5b69459aeb473cdc132d76b86727f4ef4a4ccf
+size 363

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 7.0,
+    "total_flos": 1.922715369529651e+16,
+    "train_loss": 0.522213314468437,
+    "train_runtime": 400.0579,
+    "train_samples": 104743,
+    "train_samples_per_second": 13090.981,
+    "train_steps_per_second": 51.243
+}

trainer_state.json

@@ -0,0 +1,164 @@
+{
+  "best_global_step": 820,
+  "best_metric": 0.6467869877815247,
+  "best_model_checkpoint": "tiny_bert_rand_5_v2_qnli/checkpoint-820",
+  "epoch": 7.0,
+  "eval_steps": 500,
+  "global_step": 2870,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 1.0,
+      "grad_norm": 1.361190676689148,
+      "learning_rate": 4.9e-05,
+      "loss": 0.6655,
+      "step": 410
+    },
+    {
+      "epoch": 1.0,
+      "eval_accuracy": 0.6207212154493867,
+      "eval_loss": 0.6482405066490173,
+      "eval_runtime": 1.6434,
+      "eval_samples_per_second": 3324.203,
+      "eval_steps_per_second": 13.387,
+      "step": 410
+    },
+    {
+      "epoch": 2.0,
+      "grad_norm": 1.4431250095367432,
+      "learning_rate": 4.8e-05,
+      "loss": 0.636,
+      "step": 820
+    },
+    {
+      "epoch": 2.0,
+      "eval_accuracy": 0.6267618524620172,
+      "eval_loss": 0.6467869877815247,
+      "eval_runtime": 1.5553,
+      "eval_samples_per_second": 3512.524,
+      "eval_steps_per_second": 14.145,
+      "step": 820
+    },
+    {
+      "epoch": 3.0,
+      "grad_norm": 2.969020366668701,
+      "learning_rate": 4.7e-05,
+      "loss": 0.5935,
+      "step": 1230
+    },
+    {
+      "epoch": 3.0,
+      "eval_accuracy": 0.6231008603331503,
+      "eval_loss": 0.6598222255706787,
+      "eval_runtime": 1.5702,
+      "eval_samples_per_second": 3479.09,
+      "eval_steps_per_second": 14.011,
+      "step": 1230
+    },
+    {
+      "epoch": 4.0,
+      "grad_norm": 3.04614520072937,
+      "learning_rate": 4.600000000000001e-05,
+      "loss": 0.5345,
+      "step": 1640
+    },
+    {
+      "epoch": 4.0,
+      "eval_accuracy": 0.624565257184697,
+      "eval_loss": 0.6995676159858704,
+      "eval_runtime": 1.5541,
+      "eval_samples_per_second": 3515.33,
+      "eval_steps_per_second": 14.157,
+      "step": 1640
+    },
+    {
+      "epoch": 5.0,
+      "grad_norm": 3.5794517993927,
+      "learning_rate": 4.5e-05,
+      "loss": 0.4697,
+      "step": 2050
+    },
+    {
+      "epoch": 5.0,
+      "eval_accuracy": 0.6143144792238696,
+      "eval_loss": 0.7826966047286987,
+      "eval_runtime": 1.5785,
+      "eval_samples_per_second": 3460.942,
+      "eval_steps_per_second": 13.938,
+      "step": 2050
+    },
+    {
+      "epoch": 6.0,
+      "grad_norm": 6.8822221755981445,
+      "learning_rate": 4.4000000000000006e-05,
+      "loss": 0.4077,
+      "step": 2460
+    },
+    {
+      "epoch": 6.0,
+      "eval_accuracy": 0.6040637012630423,
+      "eval_loss": 0.8890290260314941,
+      "eval_runtime": 1.5923,
+      "eval_samples_per_second": 3430.785,
+      "eval_steps_per_second": 13.816,
+      "step": 2460
+    },
+    {
+      "epoch": 7.0,
+      "grad_norm": 6.8207197189331055,
+      "learning_rate": 4.3e-05,
+      "loss": 0.3487,
+      "step": 2870
+    },
+    {
+      "epoch": 7.0,
+      "eval_accuracy": 0.6042467508694856,
+      "eval_loss": 1.0397076606750488,
+      "eval_runtime": 1.5548,
+      "eval_samples_per_second": 3513.73,
+      "eval_steps_per_second": 14.15,
+      "step": 2870
+    },
+    {
+      "epoch": 7.0,
+      "step": 2870,
+      "total_flos": 1.922715369529651e+16,
+      "train_loss": 0.522213314468437,
+      "train_runtime": 400.0579,
+      "train_samples_per_second": 13090.981,
+      "train_steps_per_second": 51.243
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 20500,
+  "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": 1.922715369529651e+16,
+  "train_batch_size": 256,
+  "trial_name": null,
+  "trial_params": null
+}