mrr_class_test_07_08
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: 0.4431
- Accuracy: 0.9452
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: 1
- eval_batch_size: 1
- seed: 42
- 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 |
|---|---|---|---|---|
| 1.0174 | 1.0 | 9690 | 0.9076 | 0.8586 |
| 0.631 | 2.0 | 19380 | 0.6219 | 0.8982 |
| 0.3953 | 3.0 | 29070 | 0.5143 | 0.9282 |
| 0.2039 | 4.0 | 38760 | 0.4250 | 0.9424 |
| 0.0963 | 5.0 | 48450 | 0.4431 | 0.9452 |
Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3
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Base model
allenai/longformer-base-4096