End of training

README.md

@@ -1,9 +1,8 @@
 ---
 license: apache-2.0
+base_model: bert-base-uncased
 tags:
 - generated_from_trainer
-metrics:
-- f1
 model-index:
 - name: sentense_pairs_cls
   results: []
@@ -15,9 +14,6 @@ should probably proofread and complete it, then remove this comment. -->
 # sentense_pairs_cls
 
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.6126
-- F1: 0.8114
 
 ## Model description
 
@@ -37,25 +33,23 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 16
-- eval_batch_size: 16
+- 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
-- num_epochs: 3
+- num_epochs: 0.1
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| No log        | 1.0   | 304  | 0.5448          | 0.8292 |
-| 0.5499        | 2.0   | 608  | 0.5760          | 0.8225 |
-| 0.5499        | 3.0   | 912  | 0.6126          | 0.8114 |
+| No log        | 0.1   | 100  | 0.0202          | 0.9474 |
 
 
 ### Framework versions
 
-- Transformers 4.30.1
-- Pytorch 2.0.0
-- Datasets 2.13.1
-- Tokenizers 0.13.3
+- Transformers 4.34.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.14.1