update model card README.md

README.md

@@ -1,5 +1,6 @@
 ---
 license: apache-2.0
+base_model: Tanor/SRGPTSENTPOS2
 tags:
 - generated_from_trainer
 metrics:
@@ -16,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [Tanor/SRGPTSENTPOS2](https://huggingface.co/Tanor/SRGPTSENTPOS2) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1634
-- F1: 0.1509
+- Loss: 0.1692
+- F1: 0.4118
 
 ## Model description
 
@@ -44,21 +45,21 @@ The following hyperparameters were used during training:
 - total_train_batch_size: 4
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 10
+- num_epochs: 32
 
 ### Training results
 
 | Training Loss | Epoch | Step  | Validation Loss | F1     |
 |:-------------:|:-----:|:-----:|:---------------:|:------:|
-| 0.0651        | 1.0   | 3004  | 0.1689          | 0.2407 |
-| 0.0706        | 2.0   | 6009  | 0.1233          | 0.0816 |
-| 0.0487        | 3.0   | 9013  | 0.1636          | 0.2338 |
-| 0.0302        | 4.0   | 12018 | 0.1634          | 0.1509 |
+| 0.1097        | 1.0   | 2697  | 0.0891          | 0.0    |
+| 0.0855        | 2.0   | 5394  | 0.1210          | 0.5049 |
+| 0.0913        | 3.0   | 8091  | 0.1336          | 0.4062 |
+| 0.0216        | 4.0   | 10788 | 0.1692          | 0.4118 |
 
 
 ### Framework versions
 
-- Transformers 4.30.2
-- Pytorch 2.1.0.dev20230715
-- Datasets 2.13.1
+- Transformers 4.31.0
+- Pytorch 2.1.0.dev20230801
+- Datasets 2.14.2
 - Tokenizers 0.13.3