End of training

README.md

@@ -4,6 +4,9 @@ license: apache-2.0
 base_model: google-bert/bert-base-uncased
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
+- f1
 model-index:
 - name: BertClassificationTest
   results: []
@@ -15,6 +18,10 @@ should probably proofread and complete it, then remove this comment. -->
 # BertClassificationTest
 
 This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4151
+- Accuracy: 0.8553
+- F1: 0.5075
 
 ## Model description
 
@@ -47,7 +54,7 @@ The following hyperparameters were used during training:
 
 ### Framework versions
 
-- Transformers 4.47.1
-- Pytorch 2.5.1+cu121
-- Datasets 2.14.4
+- Transformers 4.49.0
+- Pytorch 2.6.0+cu124
+- Datasets 3.3.2
 - Tokenizers 0.21.0

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:bc4367bf3b47a956ec436d0a241e1efe69f903cf745bcbc4b81b4e700169345d
+oid sha256:098540a7df8ed88aec6c50cc91ac446523f0730b0e8d5ea9ad68437a4c4c6901
 size 437958648