update model card README.md

README.md

@@ -1,9 +1,9 @@
 ---
+base_model: Tanor/SRGPTSENTNEG4
 tags:
 - generated_from_trainer
 metrics:
 - f1
-base_model: Tanor/SRGPTSENTNEG4
 model-index:
 - name: SRGPTSENTNEG4
   results: []
@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [Tanor/SRGPTSENTNEG4](https://huggingface.co/Tanor/SRGPTSENTNEG4) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1827
-- F1: 0.3902
+- Loss: 0.1890
+- F1: 0.3836
 
 ## Model description
 
@@ -44,22 +44,21 @@ 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     |
 |:-------------:|:-----:|:-----:|:---------------:|:------:|
-| 0.0327        | 1.0   | 3010  | 0.1860          | 0.1429 |
-| 0.0897        | 2.0   | 6020  | 0.1548          | 0.4211 |
-| 0.0361        | 3.0   | 9030  | 0.1446          | 0.4390 |
-| 0.0251        | 4.0   | 12041 | 0.2221          | 0.3896 |
-| 0.0095        | 5.0   | 15051 | 0.1827          | 0.3902 |
+| 0.1142        | 1.0   | 2703  | 0.0752          | 0.0    |
+| 0.1055        | 2.0   | 5406  | 0.1735          | 0.4463 |
+| 0.0793        | 3.0   | 8109  | 0.1349          | 0.3529 |
+| 0.0337        | 4.0   | 10812 | 0.1890          | 0.3836 |
 
 
 ### 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