End of training

README.md

@@ -1,13 +1,28 @@
 ---
 library_name: transformers
+language:
+- en
 base_model: gokulsrinivasagan/bert_base_lda_20_v1_book
 tags:
 - generated_from_trainer
+datasets:
+- glue
 metrics:
 - accuracy
 model-index:
 - name: bert_base_lda_20_v1_book_sst2
-  results: []
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: GLUE SST2
+      type: glue
+      args: sst2
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.8704128440366973
 ---
 
 <!-- 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_base_lda_20_v1_book_sst2
 
-This model is a fine-tuned version of [gokulsrinivasagan/bert_base_lda_20_v1_book](https://huggingface.co/gokulsrinivasagan/bert_base_lda_20_v1_book) on an unknown dataset.
+This model is a fine-tuned version of [gokulsrinivasagan/bert_base_lda_20_v1_book](https://huggingface.co/gokulsrinivasagan/bert_base_lda_20_v1_book) on the GLUE SST2 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4835
-- Accuracy: 0.8830
+- Loss: 0.3313
+- Accuracy: 0.8704
 
 ## Model description
 

all_results.json

@@ -0,0 +1,15 @@
+{
+    "epoch": 6.0,
+    "eval_accuracy": 0.8704128440366973,
+    "eval_loss": 0.3312614858150482,
+    "eval_runtime": 0.5707,
+    "eval_samples": 872,
+    "eval_samples_per_second": 1528.032,
+    "eval_steps_per_second": 7.009,
+    "total_flos": 5.316079940232192e+16,
+    "train_loss": 0.15173852744728628,
+    "train_runtime": 674.7007,
+    "train_samples": 67349,
+    "train_samples_per_second": 4991.028,
+    "train_steps_per_second": 19.564
+}

eval_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 6.0,
+    "eval_accuracy": 0.8704128440366973,
+    "eval_loss": 0.3312614858150482,
+    "eval_runtime": 0.5707,
+    "eval_samples": 872,
+    "eval_samples_per_second": 1528.032,
+    "eval_steps_per_second": 7.009
+}

logs/events.out.tfevents.1733846189.ki-g0008.520107.29

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a79a6906d046639066f628009c22cbc6556865129c80b69dfc86ace4868d2076
+size 411

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 6.0,
+    "total_flos": 5.316079940232192e+16,
+    "train_loss": 0.15173852744728628,
+    "train_runtime": 674.7007,
+    "train_samples": 67349,
+    "train_samples_per_second": 4991.028,
+    "train_steps_per_second": 19.564
+}

trainer_state.json

@@ -0,0 +1,147 @@
+{
+  "best_metric": 0.3312614858150482,
+  "best_model_checkpoint": "bert_base_lda_20_v1_book_sst2/checkpoint-264",
+  "epoch": 6.0,
+  "eval_steps": 500,
+  "global_step": 1584,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 1.0,
+      "grad_norm": 6.884793281555176,
+      "learning_rate": 4.9e-05,
+      "loss": 0.3964,
+      "step": 264
+    },
+    {
+      "epoch": 1.0,
+      "eval_accuracy": 0.8704128440366973,
+      "eval_loss": 0.3312614858150482,
+      "eval_runtime": 0.5784,
+      "eval_samples_per_second": 1507.629,
+      "eval_steps_per_second": 6.916,
+      "step": 264
+    },
+    {
+      "epoch": 2.0,
+      "grad_norm": 13.503787994384766,
+      "learning_rate": 4.8e-05,
+      "loss": 0.1876,
+      "step": 528
+    },
+    {
+      "epoch": 2.0,
+      "eval_accuracy": 0.8841743119266054,
+      "eval_loss": 0.3377615511417389,
+      "eval_runtime": 0.5699,
+      "eval_samples_per_second": 1530.053,
+      "eval_steps_per_second": 7.019,
+      "step": 528
+    },
+    {
+      "epoch": 3.0,
+      "grad_norm": 4.8918938636779785,
+      "learning_rate": 4.7e-05,
+      "loss": 0.1202,
+      "step": 792
+    },
+    {
+      "epoch": 3.0,
+      "eval_accuracy": 0.8669724770642202,
+      "eval_loss": 0.40393030643463135,
+      "eval_runtime": 0.573,
+      "eval_samples_per_second": 1521.855,
+      "eval_steps_per_second": 6.981,
+      "step": 792
+    },
+    {
+      "epoch": 4.0,
+      "grad_norm": 3.135744333267212,
+      "learning_rate": 4.600000000000001e-05,
+      "loss": 0.0867,
+      "step": 1056
+    },
+    {
+      "epoch": 4.0,
+      "eval_accuracy": 0.8910550458715596,
+      "eval_loss": 0.34491220116615295,
+      "eval_runtime": 0.5842,
+      "eval_samples_per_second": 1492.685,
+      "eval_steps_per_second": 6.847,
+      "step": 1056
+    },
+    {
+      "epoch": 5.0,
+      "grad_norm": 15.718326568603516,
+      "learning_rate": 4.5e-05,
+      "loss": 0.0667,
+      "step": 1320
+    },
+    {
+      "epoch": 5.0,
+      "eval_accuracy": 0.8818807339449541,
+      "eval_loss": 0.3893832564353943,
+      "eval_runtime": 0.5858,
+      "eval_samples_per_second": 1488.608,
+      "eval_steps_per_second": 6.828,
+      "step": 1320
+    },
+    {
+      "epoch": 6.0,
+      "grad_norm": 6.3708720207214355,
+      "learning_rate": 4.4000000000000006e-05,
+      "loss": 0.0527,
+      "step": 1584
+    },
+    {
+      "epoch": 6.0,
+      "eval_accuracy": 0.8830275229357798,
+      "eval_loss": 0.4835165739059448,
+      "eval_runtime": 0.5758,
+      "eval_samples_per_second": 1514.436,
+      "eval_steps_per_second": 6.947,
+      "step": 1584
+    },
+    {
+      "epoch": 6.0,
+      "step": 1584,
+      "total_flos": 5.316079940232192e+16,
+      "train_loss": 0.15173852744728628,
+      "train_runtime": 674.7007,
+      "train_samples_per_second": 4991.028,
+      "train_steps_per_second": 19.564
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 13200,
+  "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": 5.316079940232192e+16,
+  "train_batch_size": 256,
+  "trial_name": null,
+  "trial_params": null
+}