---
tags:
- generated_from_trainer
metrics:
- precision
- recall
- accuracy
model-index:
- name: bge_large_cn_new_prompt_llama3_70_2
  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. -->

# bge_large_cn_new_prompt_llama3_70_2

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9337
- Precision: 0.4748
- Recall: 0.3645
- F1 Macro: 0.3499
- Accuracy: 0.4695

## 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: 0.0003
- train_batch_size: 2048
- eval_batch_size: 1024
- seed: 0
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Precision | Recall | F1 Macro | Accuracy |
|:-------------:|:-------:|:----:|:---------------:|:---------:|:------:|:--------:|:--------:|
| No log        | 0       | 0    | 10.0773         | 0.0731    | 0.1667 | 0.0201   | 0.0638   |
| 0.9787        | 2.9326  | 1000 | 0.9896          | 0.4564    | 0.3443 | 0.3343   | 0.4531   |
| 0.9384        | 5.8651  | 2000 | 0.9622          | 0.4761    | 0.3558 | 0.3436   | 0.4648   |
| 0.9347        | 8.7977  | 3000 | 0.9476          | 0.4705    | 0.3592 | 0.3447   | 0.4594   |
| 0.9172        | 11.7302 | 4000 | 0.9409          | 0.4716    | 0.3608 | 0.3453   | 0.4613   |
| 0.9073        | 14.6628 | 5000 | 0.9369          | 0.4661    | 0.3665 | 0.3535   | 0.4648   |
| 0.8973        | 17.5953 | 6000 | 0.9337          | 0.4748    | 0.3645 | 0.3499   | 0.4695   |


### Framework versions

- Transformers 4.43.3
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1