Model save

README.md

@@ -9,18 +9,18 @@ metrics:
 - f1
 - accuracy
 model-index:
-- name: mnlp_nli_adversarial
+- name: mnlp_adversarial
   results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# mnlp_nli_adversarial
+# mnlp_adversarial
 
 This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.8234
+- Loss: 2.8943
 - Precision: 0.1154
 - Recall: 0.3333
 - F1: 0.1715
@@ -50,14 +50,13 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- num_epochs: 2
+- num_epochs: 1
 
 ### Training results
 
-| Training Loss | Epoch | Step   | Validation Loss | Precision | Recall | F1     | Accuracy |
-|:-------------:|:-----:|:------:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 1.7591        | 1.0   | 83506  | 2.8969          | 0.1150    | 0.3333 | 0.1710 | 0.3451   |
-| 1.6815        | 2.0   | 167012 | 2.8181          | 0.1150    | 0.3333 | 0.1710 | 0.3451   |
+| Training Loss | Epoch | Step  | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 2.0428        | 1.0   | 87097 | 2.8943          | 0.1154    | 0.3333 | 0.1715 | 0.3463   |
 
 
 ### Framework versions