metadata
tags:
- generated_from_trainer
datasets:
- race
model-index:
- name: longformer_race
results: []
longformer_race
This model is a fine-tuned version of allenai/longformer-base-4096 on the race dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.8572
- eval_accuracy: 0.6647
- eval_runtime: 327.7157
- eval_samples_per_second: 10.674
- eval_steps_per_second: 10.674
- epoch: 1.0
- step: 2497
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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 25
- total_train_batch_size: 25
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Framework versions
- Transformers 4.21.3
- Pytorch 1.12.1
- Datasets 2.5.1
- Tokenizers 0.11.0