End of training

README.md

@@ -15,8 +15,6 @@ should probably proofread and complete it, then remove this comment. -->
 # finetune-BERT-squad
 
 This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 1.5289
 
 ## Model description
 
@@ -43,18 +41,8 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 3
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 250  | 1.5367          |
-| 1.2931        | 2.0   | 500  | 1.4721          |
-| 1.2931        | 3.0   | 750  | 1.5289          |
-
-
 ### Framework versions
 
 - Transformers 4.44.2
 - Pytorch 2.4.1+cu121
-- Datasets 3.0.1
 - Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a0910567e8a820614dca3d79f6cb884667fd3cff0985b6e43c281337b586e473
+oid sha256:eae985c2bf92fceada8becd325e1fd301290f21275dae56cc8460d12a8b3066b
 size 265470032

runs/Oct09_15-06-26_87a8b1c8d531/events.out.tfevents.1728486397.87a8b1c8d531.1904.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:215944d91e6fb6b8a82decddcdcd7cbb447795c1f9cba0dc4ee80c50817b2022
+size 6181

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a63c5913c15712ab213b389866b19f197e88707e643cd11ba4bd6c7a414be5b2
+oid sha256:5c6f5506d43b7b496b2de2c6d767615c51907d72e0a876c7bda0e50ac81f9a7d
 size 5176