---
license: apache-2.0
base_model: susnato/ernie-m-base_pytorch
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: Model
  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. -->

# Model

This model is a fine-tuned version of [susnato/ernie-m-base_pytorch](https://huggingface.co./susnato/ernie-m-base_pytorch) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3594
- F1: 0.8030

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 0.818         | 1.0   | 1469  | 0.7237          | 0.7282 |
| 0.5339        | 2.0   | 2938  | 0.6703          | 0.7587 |
| 0.3487        | 3.0   | 4407  | 0.7401          | 0.7683 |
| 0.2386        | 4.0   | 5876  | 0.7384          | 0.7901 |
| 0.143         | 5.0   | 7345  | 1.0072          | 0.7736 |
| 0.0819        | 6.0   | 8814  | 1.0898          | 0.7979 |
| 0.0438        | 7.0   | 10283 | 1.3199          | 0.7948 |
| 0.0166        | 8.0   | 11752 | 1.3594          | 0.8030 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1