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 +11,9 @@ 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.
+This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 7.5963
+- Loss: 7.7902
 
 ## Model description
 
@@ -36,14 +34,26 @@ More information needed
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
 - train_batch_size: 80
-- eval_batch_size: 128
+- eval_batch_size: 150
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 100.0
+- num_epochs: 150.0
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.2125        | 15.0  | 240  | 7.3975          |
+| 0.2662        | 30.0  | 480  | 7.6902          |
+| 0.0878        | 45.0  | 720  | 7.7278          |
+| 0.0478        | 60.0  | 960  | 7.7675          |
+| 0.0271        | 75.0  | 1200 | 7.8001          |
+| 0.0204        | 90.0  | 1440 | 7.7704          |
+| 0.0153        | 105.0 | 1680 | 7.7562          |
+| 0.0144        | 120.0 | 1920 | 7.7687          |
+| 0.0118        | 135.0 | 2160 | 7.7854          |
+| 0.0109        | 150.0 | 2400 | 7.7902          |
 
 
 ### Framework versions