Model save

README.md

@@ -16,6 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 # my_awesome_qa_model
 
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the squad dataset.
+It achieves the following results on the evaluation set:
+- Loss: 5.3101
 
 ## Model description
 
@@ -35,13 +37,22 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 64
-- eval_batch_size: 64
+- train_batch_size: 40
+- eval_batch_size: 40
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - num_epochs: 3
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 100  | 5.5239          |
+| No log        | 2.0   | 200  | 5.3671          |
+| No log        | 3.0   | 300  | 5.3101          |
+
+
 ### Framework versions
 
 - Transformers 4.32.1

adapter_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4d2ae8a7fedf26729b1462e4684bbfcbe79371d8821898c6304b6c8d41a3e36e
+oid sha256:b3a4723c5dce28dd11f064a0300b97ecab88cd863bdcaa6aa41fabd1c7516c79
 size 614532

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2dde198d88c8a95bd81581dbad2fd4f4b1e2cc16732e2f659cc9bdeb80998227
+oid sha256:6d5dc516c8aecbbbeaf57daa9147aaf6b8e1b77ef3b481134917532c040f18ae
 size 4472