End of training

README.md

@@ -1,7 +1,7 @@
 ---
 library_name: transformers
 license: apache-2.0
-base_model: allenai/longformer-base-4096
+base_model: distilbert/distilbert-base-uncased
 tags:
 - generated_from_trainer
 metrics:
@@ -16,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # my_awesome_model
 
-This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096) on the None dataset.
+This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1556
-- Accuracy: 0.9641
+- Loss: 0.1679
+- Accuracy: 0.9593
 
 ## Model description
 
@@ -50,8 +50,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log | 1.0 | 42 | 0.1581 | 0.9641 |
-| No log | 2.0 | 84 | 0.1556 | 0.9641 |
+| No log | 1.0 | 61 | 0.1703 | 0.9522 |
+| No log | 2.0 | 122 | 0.1679 | 0.9593 |
 
 
 ### Framework versions

runs/Sep25_14-16-53_BISTECNB049/events.out.tfevents.1727254018.BISTECNB049.19804.0

@@ -1,3 +1,3 @@
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-size 5233
+oid sha256:e857fa588f956fbd25f4ebaa0589cbb1e1f4810f3cea4e6171e1d5b2aeddb63e
+size 5898