metadata
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: legalbert-large-1.7M-2_class_actions
results: []
legalbert-large-1.7M-2_class_actions
This model is a fine-tuned version of pile-of-law/legalbert-large-1.7M-2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6428
- Accuracy: 0.61
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 14
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 150 | 0.6380 | 0.6333 |
| No log | 2.0 | 300 | 0.7457 | 0.55 |
| No log | 3.0 | 450 | 0.7066 | 0.45 |
| 0.6843 | 4.0 | 600 | 0.7218 | 0.6767 |
| 0.6843 | 5.0 | 750 | 0.6360 | 0.6067 |
| 0.6843 | 6.0 | 900 | 0.6502 | 0.6033 |
| 0.6751 | 7.0 | 1050 | 0.6664 | 0.6033 |
| 0.6751 | 8.0 | 1200 | 0.6490 | 0.6133 |
| 0.6751 | 9.0 | 1350 | 0.6506 | 0.6067 |
| 0.6781 | 10.0 | 1500 | 0.6486 | 0.61 |
| 0.6781 | 11.0 | 1650 | 0.6544 | 0.6167 |
| 0.6781 | 12.0 | 1800 | 0.6425 | 0.61 |
| 0.6781 | 13.0 | 1950 | 0.6417 | 0.61 |
| 0.6756 | 14.0 | 2100 | 0.6428 | 0.61 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3