End of training

README.md

@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.2959
-- Precision: 0.8339
-- Recall: 0.8325
-- F1: 0.8328
-- Accuracy: 0.8325
+- Loss: 0.5269
+- Precision: 0.8478
+- Recall: 0.8448
+- F1: 0.8453
+- Accuracy: 0.8448
 
 ## Model description
 
@@ -49,7 +49,7 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 50
+- num_epochs: 5
 
 ### Training results
 
@@ -57,7 +57,7 @@ The following hyperparameters were used during training:
 
 ### Framework versions
 
-- Transformers 4.39.3
+- Transformers 4.40.0
 - Pytorch 2.2.1+cu121
-- Datasets 2.18.0
-- Tokenizers 0.15.2
+- Datasets 2.19.0
+- Tokenizers 0.19.1

runs/Apr19_11-03-23_5e16615779e7/events.out.tfevents.1713538537.5e16615779e7.176.4

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4868416e684494dcfa6ff79414d1dfc8812bf719c80857dc82f67e44f8cf49c7
+size 560