Model save

README.md

@@ -4,18 +4,18 @@ base_model: bert-base-chinese
 tags:
 - generated_from_trainer
 model-index:
-- name: hw1-1-question_answering-bert-base-chinese-finetuned-1
+- name: hw1-1-question_answering-bert-base-chinese-finetuned
   results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# hw1-1-question_answering-bert-base-chinese-finetuned-1
+# hw1-1-question_answering-bert-base-chinese-finetuned
 
 This model is a fine-tuned version of [bert-base-chinese](https://huggingface.co/bert-base-chinese) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.3313
+- Loss: 1.0942
 
 ## Model description
 
@@ -40,15 +40,13 @@ 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: 3
+- num_epochs: 1
 
 ### Training results
 
 | Training Loss | Epoch | Step  | Validation Loss |
 |:-------------:|:-----:|:-----:|:---------------:|
-| 1.0872        | 1.0   | 13822 | 1.0079          |
-| 0.6399        | 2.0   | 27644 | 1.0771          |
-| 0.2593        | 3.0   | 41466 | 1.3313          |
+| 1.1333        | 1.0   | 13822 | 1.0942          |
 
 
 ### Framework versions

runs/Sep18_09-49-54_50a66ea962b0/events.out.tfevents.1726653048.50a66ea962b0.387.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 10856
+oid sha256:36bcaa0b0e0176395363a7a70a312ebef53739b73dcadab7aa45d8ebab8d9b21
+size 11481