update model card README.md

README.md

@@ -1,4 +1,5 @@
 ---
+base_model: Tanor/SRGPTSENTNEG2
 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/SRGPTSENTNEG2](https://huggingface.co/Tanor/SRGPTSENTNEG2) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1259
-- F1: 0.3175
+- Loss: 0.1820
+- F1: 0.3235
 
 ## Model description
 
@@ -43,21 +44,22 @@ 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     |
 |:-------------:|:-----:|:-----:|:---------------:|:------:|
-| 0.1021        | 1.0   | 3004  | 0.1344          | 0.0    |
-| 0.094         | 2.0   | 6009  | 0.0946          | 0.3733 |
-| 0.0516        | 3.0   | 9013  | 0.2189          | 0.1455 |
-| 0.0437        | 4.0   | 12018 | 0.1259          | 0.3175 |
+| 0.1297        | 1.0   | 2697  | 0.1564          | 0.0    |
+| 0.0867        | 2.0   | 5394  | 0.1468          | 0.2903 |
+| 0.0467        | 3.0   | 8091  | 0.1674          | 0.3288 |
+| 0.052         | 4.0   | 10788 | 0.2066          | 0.3514 |
+| 0.0403        | 5.0   | 13485 | 0.1820          | 0.3235 |
 
 
 ### 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