update model card README.md

README.md

@@ -1,4 +1,5 @@
 ---
+base_model: Tanor/SRGPTSENTPOS0
 tags:
 - generated_from_trainer
 metrics:
@@ -15,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [Tanor/SRGPTSENTPOS0](https://huggingface.co/Tanor/SRGPTSENTPOS0) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1003
-- F1: 0.2581
+- Loss: 0.1113
+- F1: 0.2857
 
 ## Model description
 
@@ -43,21 +44,20 @@ 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     |
-|:-------------:|:-----:|:-----:|:---------------:|:------:|
-| 0.0443        | 1.0   | 2973  | 0.0657          | 0.2941 |
-| 0.047         | 2.0   | 5947  | 0.0912          | 0.0667 |
-| 0.0239        | 3.0   | 8921  | 0.0932          | 0.1212 |
-| 0.0049        | 4.0   | 11895 | 0.1003          | 0.2581 |
+| Training Loss | Epoch | Step | Validation Loss | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.0765        | 1.0   | 2666 | 0.0648          | 0.0    |
+| 0.0449        | 2.0   | 5332 | 0.1010          | 0.2745 |
+| 0.0263        | 3.0   | 7998 | 0.1113          | 0.2857 |
 
 
 ### 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