metadata
base_model: eclec/patentClassificationLongFormer2
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: patentClassificationLongFormerTextrank
results: []
patentClassificationLongFormerTextrank
This model is a fine-tuned version of eclec/patentClassificationLongFormer2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4294
- Accuracy: 0.7959
- F1: 0.6187
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: 1.330504416591152e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 3
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.24934655263987432
- lr_scheduler_warmup_steps: 90
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.4444 | 1.0 | 2059 | 0.4397 | 0.7947 | 0.6100 |
| 0.3942 | 2.0 | 4119 | 0.4294 | 0.7959 | 0.6187 |
| 0.3331 | 3.0 | 6177 | 0.4607 | 0.7999 | 0.6078 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.2