metadata
base_model: fnlp/bart-base-chinese
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: >-
bart-base-chinese-finetuning-wallstreetcn-morning-news-market-overview-open-000001SH-v1
results: []
bart-base-chinese-finetuning-wallstreetcn-morning-news-market-overview-open-000001SH-v1
This model is a fine-tuned version of fnlp/bart-base-chinese on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.2611
- Accuracy: 0.5862
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 75 | 0.6801 | 0.5862 |
| No log | 2.0 | 150 | 0.6871 | 0.5862 |
| No log | 3.0 | 225 | 0.6725 | 0.5517 |
| No log | 4.0 | 300 | 0.6327 | 0.6552 |
| No log | 5.0 | 375 | 0.7839 | 0.5862 |
| No log | 6.0 | 450 | 0.9481 | 0.5862 |
| 0.6041 | 7.0 | 525 | 1.4396 | 0.5172 |
| 0.6041 | 8.0 | 600 | 1.8405 | 0.6552 |
| 0.6041 | 9.0 | 675 | 2.1651 | 0.5862 |
| 0.6041 | 10.0 | 750 | 2.2611 | 0.5862 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.2
- Tokenizers 0.13.3