Model save

README.md

@@ -0,0 +1,62 @@
+---
+tags:
+- generated_from_trainer
+model-index:
+- name: squad-trained-ep4-batch16-finetuned-squad-emrQA-msquad
+  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. -->
+
+# squad-trained-ep4-batch16-finetuned-squad-emrQA-msquad
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0229
+
+## 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: 8
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 0.2132        | 1.0   | 7836  | 0.1352          |
+| 0.0861        | 2.0   | 15672 | 0.0508          |
+| 0.0478        | 3.0   | 23508 | 0.0449          |
+| 0.0332        | 4.0   | 31344 | 0.0273          |
+| 0.0187        | 5.0   | 39180 | 0.0229          |
+| 0.0113        | 6.0   | 47016 | 0.0237          |
+| 0.0063        | 7.0   | 54852 | 0.0211          |
+| 0.0031        | 8.0   | 62688 | 0.0229          |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 1.13.1+cu116
+- Datasets 2.19.2
+- Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5d771fb510bc7c449bc0f71f20e7171279b71d6e1f4706c0988aac8eb291d45f
+oid sha256:8a4cefdc910353f77ca3aaba72a3cc3291f4cb4c7fd35add4039e0362b934d33
 size 265470032