Model save

README.md

@@ -0,0 +1,58 @@
+---
+base_model: m3rg-iitd/matscibert
+tags:
+- generated_from_trainer
+datasets:
+- squad
+model-index:
+- name: matscibert-QA
+  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. -->
+
+# matscibert-QA
+
+This model is a fine-tuned version of [m3rg-iitd/matscibert](https://huggingface.co/m3rg-iitd/matscibert) on the squad dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1091
+
+## 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
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.1571        | 1.0   | 5564 | 1.1091          |
+
+
+### Framework versions
+
+- Transformers 4.34.0
+- Pytorch 2.1.0+cpu
+- Datasets 2.14.5
+- Tokenizers 0.14.1

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5d7628837c66304bc45cae80cbbbd36a728f1c3912fa4b349abe2f24ebb40cbe
+oid sha256:0cf2371d182fcc2125757a4d56fa795a1021874f6b49f18155ba57c93d5d51fe
 size 437383014