End of training

README.md

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+---
+base_model: bert-base-chinese
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: Misinformation-Covid-bert-base-chinese
+  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. -->
+
+# Misinformation-Covid-bert-base-chinese
+
+This model is a fine-tuned version of [bert-base-chinese](https://huggingface.co/bert-base-chinese) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6859
+- F1: 0.3191
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-06
+- 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: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.6995        | 1.0   | 201  | 0.6661          | 0.0417 |
+| 0.6843        | 2.0   | 402  | 0.6824          | 0.2745 |
+| 0.665         | 3.0   | 603  | 0.6240          | 0.3306 |
+| 0.6208        | 4.0   | 804  | 0.6211          | 0.3141 |
+| 0.5939        | 5.0   | 1005 | 0.6095          | 0.3231 |
+| 0.6094        | 6.0   | 1206 | 0.6216          | 0.3276 |
+| 0.5177        | 7.0   | 1407 | 0.6437          | 0.3333 |
+| 0.5092        | 8.0   | 1608 | 0.6585          | 0.3519 |
+| 0.4781        | 9.0   | 1809 | 0.6867          | 0.3333 |
+| 0.4706        | 10.0  | 2010 | 0.6859          | 0.3191 |
+
+
+### Framework versions
+
+- Transformers 4.32.1
+- Pytorch 2.1.2
+- Datasets 2.12.0
+- Tokenizers 0.13.3

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