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Erlangshen-Longformer-110M-finetuning-wallstreetcn-morning-news-vix-sz50-3labels-v1
This model is a fine-tuned version of IDEA-CCNL/Erlangshen-Longformer-110M on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0328
- Accuracy: 0.58
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
- 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 | 32 | 1.0417 | 0.58 |
| No log | 2.0 | 64 | 1.0859 | 0.2 |
| No log | 3.0 | 96 | 1.0804 | 0.22 |
| No log | 4.0 | 128 | 1.0441 | 0.58 |
| No log | 5.0 | 160 | 1.0288 | 0.58 |
| No log | 6.0 | 192 | 1.0663 | 0.58 |
| No log | 7.0 | 224 | 1.0449 | 0.58 |
| No log | 8.0 | 256 | 1.0158 | 0.58 |
| No log | 9.0 | 288 | 1.0374 | 0.58 |
| No log | 10.0 | 320 | 1.0328 | 0.58 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
