| --- |
| license: apache-2.0 |
| base_model: bert-base-multilingual-cased |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: tool_choose2_micro |
| 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. --> |
|
|
| # tool_choose2_micro |
|
|
| This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.1521 |
| - Micro f1: 0.4078 |
| - Macro f1: 0.1041 |
|
|
| ## 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: 3e-05 |
| - train_batch_size: 4 |
| - eval_batch_size: 16 |
| - seed: 1000 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: constant |
| - num_epochs: 1 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Micro f1 | Macro f1 | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:| |
| | 0.2306 | 1.0 | 223 | 0.1521 | 0.4078 | 0.1041 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.35.0 |
| - Pytorch 2.1.0+cu118 |
| - Datasets 2.14.6 |
| - Tokenizers 0.14.1 |
|
|
