Model save

README.md

@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.3234
+- Loss: 1.1378
 
 ## Model description
 
@@ -35,23 +35,25 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 8
-- eval_batch_size: 8
+- train_batch_size: 32
+- eval_batch_size: 32
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 1
+- num_epochs: 3
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 3.2928        | 1.0   | 500  | 2.3234          |
+| 1.3599        | 1.0   | 2000 | 1.2304          |
+| 1.1023        | 2.0   | 4000 | 1.1420          |
+| 0.927         | 3.0   | 6000 | 1.1378          |
 
 
 ### Framework versions
 
-- Transformers 4.39.1
+- Transformers 4.39.3
 - Pytorch 2.2.1+cu121
 - Datasets 2.18.0
 - Tokenizers 0.15.2

runs/Apr16_04-33-28_90143faeae40/events.out.tfevents.1713242013.90143faeae40.957.0

@@ -1,3 +1,3 @@
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