End of training

README.md

@@ -0,0 +1,58 @@
+---
+license: apache-2.0
+base_model: bert-base-uncased
+tags:
+- generated_from_trainer
+model-index:
+- name: bertQA
+  results: []
+---
+
+<!-- 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. -->
+
+# bertQA
+
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0003
+
+## 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: 2
+- eval_batch_size: 2
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.0011        | 1.0   | 250  | 0.0004          |
+| 0.0009        | 2.0   | 500  | 0.0003          |
+
+
+### Framework versions
+
+- Transformers 4.40.0
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.0
+- Tokenizers 0.19.1

runs/Apr27_10-59-26_ba44d2f1deb4/events.out.tfevents.1714215569.ba44d2f1deb4.367.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:30a2208ffb4a76d05044f5b5955de5631ce3eda81ad890b0b30d5cd5ff81553e
-size 15403
+oid sha256:620e08803020709c6d31761f673ce196737661444bcd91fa68cc8056fdb5696f
+size 16028

runs/Apr27_10-59-26_ba44d2f1deb4/events.out.tfevents.1714222817.ba44d2f1deb4.367.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d89e02033d2c24d58d7093e2e184962dda62a831cd8004ad438601e1b8629dd8
+size 359