metadata
license: apache-2.0
base_model: allenai/longformer-base-4096
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: patentClassfication2
results: []
patentClassfication2
This model is a fine-tuned version of allenai/longformer-base-4096 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6892
- Accuracy: 0.5443
- F1: 0.7049
- Precision: 0.5443
- Recall: 1.0
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: 0.00010736040521746779
- train_batch_size: 2
- eval_batch_size: 4
- seed: 51
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.6904 | 1.0 | 4992 | 0.6893 | 0.5443 | 0.7049 | 0.5443 | 1.0 |
| 0.6892 | 2.0 | 9985 | 0.6982 | 0.5443 | 0.7049 | 0.5443 | 1.0 |
| 0.6916 | 3.0 | 14977 | 0.6892 | 0.5443 | 0.7049 | 0.5443 | 1.0 |
| 0.6877 | 4.0 | 19970 | 0.6900 | 0.5443 | 0.7049 | 0.5443 | 1.0 |
| 0.6878 | 5.0 | 24960 | 0.6901 | 0.5443 | 0.7049 | 0.5443 | 1.0 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.0
- Datasets 2.14.4
- Tokenizers 0.13.3