End of training

README.md

@@ -18,8 +18,8 @@ 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: 1.8553
-- Accuracy: 0.2526
+- Loss: 2.0116
+- Accuracy: 0.3307
 
 ## Model description
 
@@ -46,16 +46,23 @@ The following hyperparameters were used during training:
 - total_train_batch_size: 64
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3
+- num_epochs: 10
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| 1.9113        | 0.9981 | 132  | 1.9169          | 0.2119   |
-| 1.8637        | 1.9962 | 264  | 1.8716          | 0.2455   |
-| 1.8414        | 2.9943 | 396  | 1.8553          | 0.2526   |
+| 1.7752        | 0.9981 | 132  | 1.8412          | 0.2640   |
+| 1.6453        | 1.9962 | 264  | 1.8323          | 0.2867   |
+| 1.6322        | 2.9943 | 396  | 1.7919          | 0.2985   |
+| 1.4239        | 4.0    | 529  | 1.8052          | 0.3188   |
+| 1.3082        | 4.9981 | 661  | 1.8625          | 0.3217   |
+| 1.2395        | 5.9962 | 793  | 1.8780          | 0.3382   |
+| 1.103         | 6.9943 | 925  | 1.9332          | 0.3302   |
+| 1.0687        | 8.0    | 1058 | 1.9723          | 0.3382   |
+| 1.0303        | 8.9981 | 1190 | 2.0012          | 0.3363   |
+| 0.9643        | 9.9811 | 1320 | 2.0116          | 0.3307   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:585443ae96eae2d3bcc216a5c1d8dfcaad5179b991b1b0dc8297e1e94d228c43
+oid sha256:ad1c8c4c713f0498a057dc551656812c3dbf06731b675d9d0053b9e5a2e5fd92
 size 267857176