Training completed!

README.md

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+---
+license: mit
+base_model: thenlper/gte-base-zh
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: gte-base-zh-finetuned-main_rev_rate
+  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. -->
+
+# gte-base-zh-finetuned-main_rev_rate
+
+This model is a fine-tuned version of [thenlper/gte-base-zh](https://huggingface.co/thenlper/gte-base-zh) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3443
+- Accuracy: 0.0807
+- F1: 0.0713
+
+## 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-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 15
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 0.3784        | 1.0   | 85   | 0.3260          | 0.0998   | 0.0181 |
+| 0.3258        | 2.0   | 170  | 0.3268          | 0.0913   | 0.0153 |
+| 0.3256        | 3.0   | 255  | 0.3271          | 0.0913   | 0.0153 |
+| 0.3255        | 4.0   | 340  | 0.3262          | 0.1040   | 0.0305 |
+| 0.3255        | 5.0   | 425  | 0.3266          | 0.0998   | 0.0246 |
+| 0.3248        | 6.0   | 510  | 0.3257          | 0.0955   | 0.0489 |
+| 0.3246        | 7.0   | 595  | 0.3263          | 0.1104   | 0.0566 |
+| 0.3233        | 8.0   | 680  | 0.3272          | 0.1062   | 0.0593 |
+| 0.3206        | 9.0   | 765  | 0.3287          | 0.1146   | 0.0754 |
+| 0.3171        | 10.0  | 850  | 0.3324          | 0.0977   | 0.0686 |
+| 0.3113        | 11.0  | 935  | 0.3321          | 0.0892   | 0.0809 |
+| 0.3021        | 12.0  | 1020 | 0.3357          | 0.0977   | 0.0800 |
+| 0.2954        | 13.0  | 1105 | 0.3395          | 0.0828   | 0.0750 |
+| 0.2872        | 14.0  | 1190 | 0.3428          | 0.0913   | 0.0803 |
+| 0.2821        | 15.0  | 1275 | 0.3443          | 0.0807   | 0.0713 |
+
+
+### Framework versions
+
+- Transformers 4.40.0
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.0
+- Tokenizers 0.19.1

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