KAM-finText
This model is a fine-tuned version of FinText/FinText-Base-2023 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5207
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
- lr_scheduler_warmup_steps: 20
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5418 | 1.0 | 6520 | 0.5560 |
| 0.3904 | 2.0 | 13040 | 0.4970 |
| 0.2632 | 3.0 | 19560 | 0.5207 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0
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Model tree for MaRyAm1295/KAM-finText
Base model
FinText/FinText-Base-2023