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--- |
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license: apache-2.0 |
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base_model: bert-base-multilingual-cased |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: tool_choose |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# tool_choose |
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This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0897 |
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- Micro f1: 0.8434 |
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- Macro f1: 0.7771 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 3e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: constant |
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- num_epochs: 40 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Micro f1 | Macro f1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:| |
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| 0.2257 | 1.0 | 223 | 0.1608 | 0.0691 | 0.0279 | |
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| 0.131 | 2.0 | 446 | 0.1085 | 0.6282 | 0.2107 | |
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| 0.0971 | 3.0 | 669 | 0.0913 | 0.6594 | 0.2450 | |
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| 0.0791 | 4.0 | 892 | 0.0813 | 0.7333 | 0.2889 | |
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| 0.0676 | 5.0 | 1115 | 0.0730 | 0.7719 | 0.3426 | |
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| 0.0598 | 6.0 | 1338 | 0.0681 | 0.7931 | 0.3759 | |
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| 0.0499 | 7.0 | 1561 | 0.0756 | 0.7658 | 0.3849 | |
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| 0.0442 | 8.0 | 1784 | 0.0688 | 0.7894 | 0.3936 | |
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| 0.0404 | 9.0 | 2007 | 0.0637 | 0.8145 | 0.4532 | |
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| 0.0334 | 10.0 | 2230 | 0.0593 | 0.8276 | 0.4813 | |
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| 0.0293 | 11.0 | 2453 | 0.0672 | 0.8084 | 0.4919 | |
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| 0.0282 | 12.0 | 2676 | 0.0683 | 0.7967 | 0.5406 | |
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| 0.0244 | 13.0 | 2899 | 0.0617 | 0.8297 | 0.5594 | |
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| 0.0212 | 14.0 | 3122 | 0.0624 | 0.8372 | 0.6604 | |
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| 0.0201 | 15.0 | 3345 | 0.0731 | 0.7950 | 0.5878 | |
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| 0.0188 | 16.0 | 3568 | 0.0651 | 0.8283 | 0.6192 | |
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| 0.0157 | 17.0 | 3791 | 0.0705 | 0.8252 | 0.6689 | |
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| 0.0152 | 18.0 | 4014 | 0.0726 | 0.8115 | 0.6558 | |
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| 0.0138 | 19.0 | 4237 | 0.0707 | 0.8318 | 0.7159 | |
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| 0.0126 | 20.0 | 4460 | 0.0677 | 0.8387 | 0.7002 | |
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| 0.0129 | 21.0 | 4683 | 0.0707 | 0.8269 | 0.7254 | |
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| 0.0098 | 22.0 | 4906 | 0.0689 | 0.8257 | 0.7111 | |
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| 0.0089 | 23.0 | 5129 | 0.0793 | 0.8127 | 0.6561 | |
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| 0.0089 | 24.0 | 5352 | 0.0731 | 0.8227 | 0.6963 | |
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| 0.009 | 25.0 | 5575 | 0.0783 | 0.8203 | 0.7076 | |
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| 0.0099 | 26.0 | 5798 | 0.0745 | 0.8348 | 0.7155 | |
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| 0.0089 | 27.0 | 6021 | 0.0685 | 0.8458 | 0.7208 | |
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| 0.0077 | 28.0 | 6244 | 0.0780 | 0.8197 | 0.6605 | |
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| 0.0081 | 29.0 | 6467 | 0.0803 | 0.8193 | 0.6366 | |
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| 0.0085 | 30.0 | 6690 | 0.0764 | 0.8259 | 0.7797 | |
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| 0.0074 | 31.0 | 6913 | 0.0809 | 0.8269 | 0.7182 | |
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| 0.0036 | 32.0 | 7136 | 0.0808 | 0.8283 | 0.7305 | |
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| 0.0083 | 33.0 | 7359 | 0.0810 | 0.8378 | 0.7481 | |
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| 0.0071 | 34.0 | 7582 | 0.0826 | 0.8329 | 0.7348 | |
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| 0.0058 | 35.0 | 7805 | 0.1001 | 0.8041 | 0.6292 | |
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| 0.0047 | 36.0 | 8028 | 0.0864 | 0.8296 | 0.7206 | |
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| 0.006 | 37.0 | 8251 | 0.0820 | 0.8388 | 0.7131 | |
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| 0.0053 | 38.0 | 8474 | 0.0858 | 0.8194 | 0.7486 | |
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| 0.0056 | 39.0 | 8697 | 0.0902 | 0.8219 | 0.6887 | |
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| 0.0044 | 40.0 | 8920 | 0.0897 | 0.8434 | 0.7771 | |
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### Framework versions |
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- Transformers 4.35.0 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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