---
license: apache-2.0
base_model: hfl/chinese-macbert-base
tags:
- generated_from_trainer
model-index:
- name: ntu_adl_span_selection_roberta_macbert
  results: []
---

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# ntu_adl_span_selection_roberta_macbert

This model is a fine-tuned version of [hfl/chinese-macbert-base](https://huggingface.co./hfl/chinese-macbert-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6356

## 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: 1
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 169  | 0.6805          |
| No log        | 1.99  | 338  | 0.6356          |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1