update model card README.md

README.md

@@ -2,6 +2,11 @@
 base_model: vinai/bertweet-large
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
 model-index:
 - name: baselineberttweetlarge
   results: []
@@ -14,15 +19,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [vinai/bertweet-large](https://huggingface.co/vinai/bertweet-large) on the None dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.6416
-- eval_accuracy: 0.6229
-- eval_f1: 0.0661
-- eval_precision: 0.4286
-- eval_recall: 0.0358
-- eval_runtime: 45.0884
-- eval_samples_per_second: 19.939
-- eval_steps_per_second: 4.99
-- step: 0
+- Loss: 0.5724
+- Accuracy: 0.6274
+- F1: 0.0
+- Precision: 0.0
+- Recall: 0.0
 
 ## Model description
 
@@ -47,7 +48,14 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 2
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1  | Precision | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---:|:---------:|:------:|
+| 0.615         | 1.0   | 788  | 0.5724          | 0.6274   | 0.0 | 0.0       | 0.0    |
+
 
 ### Framework versions