End of training

README.md

@@ -1,13 +1,28 @@
 ---
 library_name: transformers
+language:
+- en
 base_model: gokulsrinivasagan/bert_tiny_lda_50_v1_book
 tags:
 - generated_from_trainer
+datasets:
+- glue
 metrics:
 - accuracy
 model-index:
 - name: bert_tiny_lda_50_v1_book_wnli
-  results: []
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: GLUE WNLI
+      type: glue
+      args: wnli
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.5633802816901409
 ---
 
 <!-- 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. -->
 
 # bert_tiny_lda_50_v1_book_wnli
 
-This model is a fine-tuned version of [gokulsrinivasagan/bert_tiny_lda_50_v1_book](https://huggingface.co/gokulsrinivasagan/bert_tiny_lda_50_v1_book) on an unknown dataset.
+This model is a fine-tuned version of [gokulsrinivasagan/bert_tiny_lda_50_v1_book](https://huggingface.co/gokulsrinivasagan/bert_tiny_lda_50_v1_book) on the GLUE WNLI dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7330
-- Accuracy: 0.3380
+- Loss: 0.6965
+- Accuracy: 0.5634
 
 ## Model description
 

all_results.json

@@ -0,0 +1,15 @@
+{
+    "epoch": 6.0,
+    "eval_accuracy": 0.5633802816901409,
+    "eval_loss": 0.6964953541755676,
+    "eval_runtime": 0.0339,
+    "eval_samples": 71,
+    "eval_samples_per_second": 2097.211,
+    "eval_steps_per_second": 29.538,
+    "total_flos": 99911832606720.0,
+    "train_loss": 0.6956634124120077,
+    "train_runtime": 7.7222,
+    "train_samples": 635,
+    "train_samples_per_second": 4111.506,
+    "train_steps_per_second": 19.424
+}

eval_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 6.0,
+    "eval_accuracy": 0.5633802816901409,
+    "eval_loss": 0.6964953541755676,
+    "eval_runtime": 0.0339,
+    "eval_samples": 71,
+    "eval_samples_per_second": 2097.211,
+    "eval_steps_per_second": 29.538
+}

logs/events.out.tfevents.1733838550.ki-g0008.684565.15

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:762297a862a8dae59aeb9327f489133b627197bd9efccc73c1f23d7e9a554972
+size 405

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 6.0,
+    "total_flos": 99911832606720.0,
+    "train_loss": 0.6956634124120077,
+    "train_runtime": 7.7222,
+    "train_samples": 635,
+    "train_samples_per_second": 4111.506,
+    "train_steps_per_second": 19.424
+}

trainer_state.json

@@ -0,0 +1,147 @@
+{
+  "best_metric": 0.6964953541755676,
+  "best_model_checkpoint": "bert_tiny_lda_50_v1_book_wnli/checkpoint-3",
+  "epoch": 6.0,
+  "eval_steps": 500,
+  "global_step": 18,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 1.0,
+      "grad_norm": 0.8155308365821838,
+      "learning_rate": 4.9e-05,
+      "loss": 0.7018,
+      "step": 3
+    },
+    {
+      "epoch": 1.0,
+      "eval_accuracy": 0.5633802816901409,
+      "eval_loss": 0.6964953541755676,
+      "eval_runtime": 0.029,
+      "eval_samples_per_second": 2450.307,
+      "eval_steps_per_second": 34.511,
+      "step": 3
+    },
+    {
+      "epoch": 2.0,
+      "grad_norm": 0.7931452989578247,
+      "learning_rate": 4.8e-05,
+      "loss": 0.6999,
+      "step": 6
+    },
+    {
+      "epoch": 2.0,
+      "eval_accuracy": 0.39436619718309857,
+      "eval_loss": 0.7075263857841492,
+      "eval_runtime": 0.029,
+      "eval_samples_per_second": 2447.93,
+      "eval_steps_per_second": 34.478,
+      "step": 6
+    },
+    {
+      "epoch": 3.0,
+      "grad_norm": 0.8391414284706116,
+      "learning_rate": 4.7e-05,
+      "loss": 0.6971,
+      "step": 9
+    },
+    {
+      "epoch": 3.0,
+      "eval_accuracy": 0.4225352112676056,
+      "eval_loss": 0.7252969145774841,
+      "eval_runtime": 0.0293,
+      "eval_samples_per_second": 2419.391,
+      "eval_steps_per_second": 34.076,
+      "step": 9
+    },
+    {
+      "epoch": 4.0,
+      "grad_norm": 0.7865285873413086,
+      "learning_rate": 4.600000000000001e-05,
+      "loss": 0.6921,
+      "step": 12
+    },
+    {
+      "epoch": 4.0,
+      "eval_accuracy": 0.4225352112676056,
+      "eval_loss": 0.7110476493835449,
+      "eval_runtime": 0.0297,
+      "eval_samples_per_second": 2387.656,
+      "eval_steps_per_second": 33.629,
+      "step": 12
+    },
+    {
+      "epoch": 5.0,
+      "grad_norm": 1.0633721351623535,
+      "learning_rate": 4.5e-05,
+      "loss": 0.6941,
+      "step": 15
+    },
+    {
+      "epoch": 5.0,
+      "eval_accuracy": 0.39436619718309857,
+      "eval_loss": 0.716549277305603,
+      "eval_runtime": 0.0288,
+      "eval_samples_per_second": 2463.482,
+      "eval_steps_per_second": 34.697,
+      "step": 15
+    },
+    {
+      "epoch": 6.0,
+      "grad_norm": 0.7382026314735413,
+      "learning_rate": 4.4000000000000006e-05,
+      "loss": 0.689,
+      "step": 18
+    },
+    {
+      "epoch": 6.0,
+      "eval_accuracy": 0.3380281690140845,
+      "eval_loss": 0.7329993844032288,
+      "eval_runtime": 0.029,
+      "eval_samples_per_second": 2448.071,
+      "eval_steps_per_second": 34.48,
+      "step": 18
+    },
+    {
+      "epoch": 6.0,
+      "step": 18,
+      "total_flos": 99911832606720.0,
+      "train_loss": 0.6956634124120077,
+      "train_runtime": 7.7222,
+      "train_samples_per_second": 4111.506,
+      "train_steps_per_second": 19.424
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 150,
+  "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": 99911832606720.0,
+  "train_batch_size": 256,
+  "trial_name": null,
+  "trial_params": null
+}