metadata
license: apache-2.0
base_model: IDEA-CCNL/Erlangshen-Longformer-110M
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: >-
Erlangshen-Longformer-110M-wallstreetcn-morning-news-market-overview-SSE50-1
results: []
Erlangshen-Longformer-110M-wallstreetcn-morning-news-market-overview-SSE50-1
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: 0.7049
- Accuracy: 0.6970
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 | 34 | 0.7497 | 0.3939 |
| No log | 2.0 | 68 | 0.6623 | 0.6061 |
| No log | 3.0 | 102 | 0.6424 | 0.6364 |
| No log | 4.0 | 136 | 0.6089 | 0.6364 |
| No log | 5.0 | 170 | 0.5865 | 0.6970 |
| No log | 6.0 | 204 | 0.6584 | 0.6364 |
| No log | 7.0 | 238 | 0.8572 | 0.6364 |
| No log | 8.0 | 272 | 0.5959 | 0.7273 |
| No log | 9.0 | 306 | 0.6490 | 0.6970 |
| No log | 10.0 | 340 | 0.7049 | 0.6970 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0