longformer-heat_transfer-1epoch
This model is a fine-tuned version of allenai/longformer-base-4096 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2891
- Accuracy: 0.924
- F1: 0.9240
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.6954 | 0.1776 | 100 | 0.6929 | 0.506 | 0.4586 |
| 0.4495 | 0.3552 | 200 | 0.4468 | 0.822 | 0.8217 |
| 0.4262 | 0.5329 | 300 | 0.2321 | 0.925 | 0.9249 |
| 0.1996 | 0.7105 | 400 | 0.3061 | 0.915 | 0.9147 |
| 0.2695 | 0.8881 | 500 | 0.2891 | 0.924 | 0.9240 |
Framework versions
- Transformers 4.46.0
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.20.1
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Model tree for Howard881010/longformer-heat_transfer-1epoch
Base model
allenai/longformer-base-4096