End of training

README.md

@@ -16,11 +16,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # distilbert-news-classification
 
-This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an custom binary news dataset.
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0002
-- F1: 0.9999
-- Acc: 0.9999
+- Loss: 0.0114
+- F1: 1.0
+- Acc: 1.0
 
 ## Model description
 
@@ -40,24 +40,23 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 96
-- eval_batch_size: 96
+- train_batch_size: 32
+- eval_batch_size: 32
 - seed: 42
 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 2
+- num_epochs: 1
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | F1     | Acc    |
-|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
-| 0.0046        | 1.0   | 3700 | 0.0003          | 0.9999 | 0.9999 |
-| 0.0003        | 2.0   | 7400 | 0.0002          | 0.9999 | 0.9999 |
+| Training Loss | Epoch | Step | Validation Loss | F1  | Acc |
+|:-------------:|:-----:|:----:|:---------------:|:---:|:---:|
+| 0.1561        | 1.0   | 90   | 0.0114          | 1.0 | 1.0 |
 
 
 ### Framework versions
 
-- Transformers 4.46.3
-- Pytorch 2.4.0
+- Transformers 4.47.1
+- Pytorch 2.5.1
 - Datasets 3.1.0
-- Tokenizers 0.20.3
+- Tokenizers 0.21.0

runs/Dec30_21-52-19_Aadityas-MacBook-Pro.local/events.out.tfevents.1735575747.Aadityas-MacBook-Pro.local.26825.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a05bdeb880a1846421d2297bf9b96743e7f245714bfe79deb77fdc15583cc834
-size 5181
+oid sha256:dfc556d766f52da50b7183604213c265cde0379148d73f7ca4a4d2777a83b29a
+size 5886