Model save

README.md

@@ -0,0 +1,63 @@
+---
+license: apache-2.0
+base_model: bert-base-cased
+tags:
+- generated_from_trainer
+datasets:
+- squad_v2
+model-index:
+- name: bert-base-cased-finetuned-squad_v2-bs_32
+  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. -->
+
+# bert-base-cased-finetuned-squad_v2-bs_32
+
+This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the squad_v2 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.5835
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 1.0646        | 1.0   | 4128  | 1.1130          |
+| 0.8143        | 2.0   | 8256  | 1.1558          |
+| 0.6028        | 3.0   | 12384 | 1.3857          |
+| 0.47          | 4.0   | 16512 | 1.4318          |
+| 0.3676        | 5.0   | 20640 | 1.5835          |
+
+
+### Framework versions
+
+- Transformers 4.34.0
+- Pytorch 1.12.1
+- Datasets 2.14.5
+- Tokenizers 0.14.1

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4de6606f4984b98afd433a19e329e13e5235399fb90aa9e2f068611e300a7dc3
+oid sha256:81c5a42c3387b651cf6d4aad7cbbf49727216bd798a0e05187efe76890d823d7
 size 430950899