End of training

README.md

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+---
+license: apache-2.0
+base_model: hfl/chinese-macbert-base
+tags:
+- generated_from_trainer
+datasets:
+- clue
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: muliple_choice
+  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. -->
+
+# muliple_choice
+
+This model is a fine-tuned version of [hfl/chinese-macbert-base](https://huggingface.co/hfl/chinese-macbert-base) on the clue dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3806
+- Accuracy: 0.32
+- Precision: 0.3720
+- Recall: 0.3290
+- F1: 0.3290
+
+## 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: 5e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| No log        | 1.0   | 13   | 1.3806          | 0.32     | 0.3720    | 0.3290 | 0.3290 |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

runs/Jul19_11-42-36_g15-jyx/events.out.tfevents.1721360961.g15-jyx.73611.1

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