End of training

README.md

@@ -3,6 +3,9 @@ license: apache-2.0
 base_model: distilbert-base-uncased
 tags:
 - generated_from_trainer
+metrics:
+- f1
+- accuracy
 model-index:
 - name: distilbert-sentimentanalysis
   results: []
@@ -14,6 +17,10 @@ should probably proofread and complete it, then remove this comment. -->
 # distilbert-sentimentanalysis
 
 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: 1.9561
+- F1: 0.7795
+- Accuracy: 0.7795
 
 ## Model description
 
@@ -38,7 +45,7 @@ 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: 10
+- num_epochs: 3
 
 ### Training results
 

runs/Nov16_11-53-06_8e85276a167e/events.out.tfevents.1700136323.8e85276a167e.938.5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b2be29de54ffd3a85fe1d32a0a7cc834f1cb4c91c3934698b70595e7377c5304
+size 457