End of training

README.md

@@ -0,0 +1,79 @@
+---
+language:
+- en
+license: apache-2.0
+base_model: bert-base-uncased
+tags:
+- generated_from_trainer
+datasets:
+- google/boolq
+metrics:
+- accuracy
+model-index:
+- name: Bert Base Uncased Boolean Question Answer model
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: boolq
+      type: google/boolq
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.7149847094801223
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# Bert Base Uncased Boolean Question Answer model
+
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the boolq dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1993
+- Accuracy: 0.7150
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 0.2317        | 0.9966 | 147  | 0.2198          | 0.6569   |
+| 0.2           | 2.0    | 295  | 0.2002          | 0.6960   |
+| 0.1741        | 2.9966 | 442  | 0.1968          | 0.7122   |
+| 0.1469        | 3.9864 | 588  | 0.1993          | 0.7150   |
+
+
+### Framework versions
+
+- Transformers 4.40.0
+- Pytorch 2.2.2+cu121
+- Datasets 2.19.0
+- Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2ad2339fa8391c6e46719732612b04d76f9f97960268b1b15cdffdca938c01bf
+oid sha256:74d77a25130144cd42f611bf83ffbb42bc662e04d1f300a2e084b2ec829e269b
 size 437955572