Model save

README.md

@@ -4,7 +4,7 @@ base_model: albert-base-v2
 tags:
 - generated_from_trainer
 datasets:
-- squad
+- squad_v2
 model-index:
 - name: albert-base-v2-finetuned-squad
   results: []
@@ -15,16 +15,21 @@ should probably proofread and complete it, then remove this comment. -->
 
 # albert-base-v2-finetuned-squad
 
-## Model description
-This model is a fine-tuned version of [albert-base-v2](https://huggingface.co/albert-base-v2) on the squad dataset.
+This model is a fine-tuned version of [albert-base-v2](https://huggingface.co/albert-base-v2) on the squad_v2 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.4539
-- Exact_match: 80.60548722800378
-- F1 score: 88.76870326468953
+- Loss: 1.4774
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
 
 ## Training and evaluation data
 
-All data was taken from the [squad dataset](https://huggingface.co/datasets/squad).
+More information needed
 
 ## Training procedure
 
@@ -38,16 +43,16 @@ The following hyperparameters were used during training:
 - 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 |
 |:-------------:|:-----:|:-----:|:---------------:|
-| 0.8702        | 1.0   | 5540  | 0.8943          |
-| 0.6972        | 2.0   | 11080 | 0.9087          |
-| 0.4998        | 3.0   | 16620 | 0.9890          |
-| 0.3601        | 4.0   | 22160 | 1.1892          |
-| 0.235         | 5.0   | 27700 | 1.4539          |
+| 0.8783        | 1.0   | 8248  | 0.8800          |
+| 0.691         | 2.0   | 16496 | 0.8360          |
+| 0.5057        | 3.0   | 24744 | 0.9619          |
+| 0.348         | 4.0   | 32992 | 1.1724          |
+| 0.2192        | 5.0   | 41240 | 1.4774          |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:486c79737f41679a518a7ba6d9d80386bf4f15cedfd9bed812e7abafaf4bc26c
+oid sha256:69d9c3ec6f91e2c7de38042e55fe75327b9f8859e809b7a7322f6511b14db6a9
 size 44386138