Model save

README.md

@@ -1,6 +1,4 @@
 ---
-license: gpl-3.0
-base_model: ckiplab/bert-base-chinese
 tags:
 - generated_from_trainer
 model-index:
@@ -13,9 +11,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # clip-roberta-finetuned
 
-This model is a fine-tuned version of [ckiplab/bert-base-chinese](https://huggingface.co/ckiplab/bert-base-chinese) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 2.6355
+This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
 
 ## Model description
 
@@ -35,12 +31,12 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 64
-- eval_batch_size: 64
+- train_batch_size: 80
+- eval_batch_size: 100
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 10.0
+- num_epochs: 100.0
 
 ### Training results