metadata
library_name: transformers
license: mit
base_model: microsoft/deberta-v3-base
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: deberta-v3-base-financial-inc-dec-ner
results: []
deberta-v3-base-financial-inc-dec-ner
This model is a fine-tuned version of microsoft/deberta-v3-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0229
- Precision: 0.9468
- Recall: 0.9368
- F1: 0.9418
- Accuracy: 0.9925
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
---|---|---|---|---|---|---|---|
No log | 1.0 | 190 | 0.0275 | 0.9368 | 0.9368 | 0.9368 | 0.9914 |
No log | 2.0 | 380 | 0.0229 | 0.9468 | 0.9368 | 0.9418 | 0.9925 |
0.0671 | 3.0 | 570 | 0.0479 | 0.9890 | 0.9474 | 0.9677 | 0.9914 |
0.0671 | 4.0 | 760 | 0.0495 | 0.9890 | 0.9474 | 0.9677 | 0.9914 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu124
- Datasets 2.21.0
- Tokenizers 0.19.1