longformer-predicted-pos-encodings-4096-2L

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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

Framework versions

• Transformers 4.20.0
• Pytorch 1.12.0+cu113
• Datasets 2.6.1
• Tokenizers 0.12.1