Model save

README.md

@@ -1,9 +1,11 @@
 ---
 library_name: transformers
-license: mit
-base_model: roberta-base
+license: apache-2.0
+base_model: knowledgator/comprehend_it-base
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
 model-index:
 - name: winzo_feature_classifier_lowercase
   results: []
@@ -14,7 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # winzo_feature_classifier_lowercase
 
-This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
+This model is a fine-tuned version of [knowledgator/comprehend_it-base](https://huggingface.co/knowledgator/comprehend_it-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0379
+- Accuracy: 0.9873
 
 ## Model description
 
@@ -33,17 +38,21 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
+- learning_rate: 3e-05
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 500
-- num_epochs: 5
+- num_epochs: 3
 
 ### Training results
 
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.0639        | 1.0   | 14345 | 0.0698          | 0.9813   |
+| 0.0328        | 2.0   | 28690 | 0.0416          | 0.9871   |
+| 0.0286        | 3.0   | 43035 | 0.0379          | 0.9873   |
 
 
 ### Framework versions