End of training

README.md

@@ -17,7 +17,7 @@ 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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3644
+- Loss: 0.3113
 - Matthews Correlation: 0.7689
 
 ## Model description
@@ -38,8 +38,8 @@ 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: 16
+- eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -49,13 +49,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
 |:-------------:|:-----:|:----:|:---------------:|:--------------------:|
-| No log        | 1.0   | 450  | 0.2765          | 0.7509               |
-| 0.3755        | 2.0   | 900  | 0.3644          | 0.7689               |
+| No log        | 1.0   | 225  | 0.2997          | 0.7459               |
+| No log        | 2.0   | 450  | 0.3113          | 0.7689               |
 
 
 ### Framework versions
 
-- Transformers 4.41.1
-- Pytorch 2.1.2
+- Transformers 4.41.0
+- Pytorch 2.3.0+cu121
 - Datasets 2.19.1
 - Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:51f36bb0d768a8a50670eb0797e35f01f3f7e38fc7ac9e07d1bf63483e66b091
+oid sha256:26911ae85307a4abba57fcc9690bf9786e33df3920e5c840f242493c94bc6408
 size 267832560