longformer-predicted-pos-encodings-4096-2L
This model is a fine-tuned version of data/models/longformer-predicted-pos-encodings-4096 on the c4 en dataset. It achieves the following results on the evaluation set:
- Loss: 2.0208
- Accuracy: 0.6237
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_ratio: 1.0
- training_steps: 6400
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.2154 | 1.0 | 6400 | 2.0203 | 0.6238 |
Framework versions
- Transformers 4.20.0
- Pytorch 1.12.0+cu113
- Datasets 2.6.1
- Tokenizers 0.12.1