metadata
tags:
- generated_from_trainer
model-index:
- name: roberta-large-fever
results: []
datasets:
- copenlu/fever_gold_evidence
roberta-large-fever
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.5332
- eval_p: 0.8833
- eval_r: 0.8829
- eval_f1: 0.8819
- eval_runtime: 135.6209
- eval_samples_per_second: 138.659
- eval_steps_per_second: 17.335
- step: 0
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 4
Framework versions
- Transformers 4.21.1
- Pytorch 1.12.1
- Datasets 2.6.1
- Tokenizers 0.12.1