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---
base_model: nghuyong/ernie-2.0-base-en
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: nghuyong-ernie-2.0-base-en
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. -->
# nghuyong-ernie-2.0-base-en
This model is a fine-tuned version of [nghuyong/ernie-2.0-base-en](https://huggingface.co/nghuyong/ernie-2.0-base-en) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5388
- Accuracy: 0.3512
## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.321 | 1.0 | 2857 | 1.3577 | 0.3201 |
| 1.1604 | 2.0 | 5714 | 1.4322 | 0.3493 |
| 0.9724 | 3.0 | 8571 | 1.5388 | 0.3512 |
### Framework versions
- Transformers 4.39.0.dev0
- Pytorch 2.2.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.0
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