End of training

README.md

@@ -1,13 +1,28 @@
 ---
 library_name: transformers
+language:
+- en
 base_model: gokulsrinivasagan/bert_base_lda_5_v1
 tags:
 - generated_from_trainer
+datasets:
+- glue
 metrics:
 - accuracy
 model-index:
 - name: bert_base_lda_5_v1_sst2
-  results: []
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: GLUE SST2
+      type: glue
+      args: sst2
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.5091743119266054
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,9 +30,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bert_base_lda_5_v1_sst2
 
-This model is a fine-tuned version of [gokulsrinivasagan/bert_base_lda_5_v1](https://huggingface.co/gokulsrinivasagan/bert_base_lda_5_v1) on an unknown dataset.
+This model is a fine-tuned version of [gokulsrinivasagan/bert_base_lda_5_v1](https://huggingface.co/gokulsrinivasagan/bert_base_lda_5_v1) on the GLUE SST2 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6989
+- Loss: 0.6958
 - Accuracy: 0.5092
 
 ## Model description

all_results.json

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+    "total_flos": 7.974119910348288e+16,
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+    "train_samples": 67349,
+    "train_samples_per_second": 3356.89,
+    "train_steps_per_second": 13.159
+}

eval_results.json

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+{
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+    "eval_steps_per_second": 6.975
+}

logs/events.out.tfevents.1732647560.ki-g0008.2136607.11

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+version https://git-lfs.github.com/spec/v1
+oid sha256:6728e0b9a4660be13de34708c12a694462ab5a05f7a98dce0d9b2a222360e40f
+size 411

train_results.json

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+    "train_samples": 67349,
+    "train_samples_per_second": 3356.89,
+    "train_steps_per_second": 13.159
+}

trainer_state.json

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+  "best_model_checkpoint": "bert_base_lda_5_v1_sst2/checkpoint-1056",
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+  "is_hyper_param_search": false,
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