|
--- |
|
license: apache-2.0 |
|
base_model: Twitter/twhin-bert-large |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
- f1 |
|
model-index: |
|
- name: financial-twhin-bert-large-7labels |
|
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. --> |
|
|
|
# financial-twhin-bert-large-7labels |
|
|
|
This model is a fine-tuned version of [Twitter/twhin-bert-large](https://huggingface.co/Twitter/twhin-bert-large) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.2960 |
|
- Accuracy: 0.9023 |
|
- F1: 0.9014 |
|
|
|
## 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: 2.1732582582331977e-05 |
|
- train_batch_size: 16 |
|
- eval_batch_size: 8 |
|
- seed: 1203 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_ratio: 0.1 |
|
- num_epochs: 3 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
|
|:-------------:|:------:|:-----:|:---------------:|:--------:|:------:| |
|
| 1.0082 | 0.3272 | 1500 | 0.4766 | 0.8302 | 0.8179 | |
|
| 0.4866 | 0.6545 | 3000 | 0.4327 | 0.8552 | 0.8395 | |
|
| 0.4354 | 0.9817 | 4500 | 0.3823 | 0.8616 | 0.8532 | |
|
| 0.3368 | 1.3089 | 6000 | 0.3435 | 0.8875 | 0.8787 | |
|
| 0.3136 | 1.6361 | 7500 | 0.3266 | 0.8872 | 0.8902 | |
|
| 0.2829 | 1.9634 | 9000 | 0.2997 | 0.8950 | 0.8939 | |
|
| 0.246 | 2.2906 | 10500 | 0.3183 | 0.8976 | 0.8923 | |
|
| 0.2277 | 2.6178 | 12000 | 0.3090 | 0.8994 | 0.8978 | |
|
| 0.2173 | 2.9450 | 13500 | 0.2960 | 0.9023 | 0.9014 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.40.1 |
|
- Pytorch 2.2.1+cu121 |
|
- Datasets 2.19.0 |
|
- Tokenizers 0.19.1 |
|
|
