metadata
base_model: allenai/longformer-large-4096
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: patentClassfication3
results: []
patentClassfication3
This model is a fine-tuned version of allenai/longformer-large-4096 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5709
- Accuracy: 0.7283
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: 1.4489735300181872e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 3
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- lr_scheduler_warmup_steps: 240
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6069 | 1.0 | 4438 | 0.5878 | 0.6927 |
| 0.559 | 2.0 | 8876 | 0.5991 | 0.7026 |
| 0.5133 | 3.0 | 13314 | 0.5709 | 0.7283 |
| 0.4348 | 4.0 | 17752 | 0.6091 | 0.7228 |
| 0.376 | 5.0 | 22190 | 0.7537 | 0.7117 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.0
- Datasets 2.14.4
- Tokenizers 0.13.3