metadata
base_model: imvladikon/alephbertgimmel-base-512
tags:
- generated_from_trainer
datasets:
- imvladikon/parashoot
model-index:
- name: alephbertgimmel_parashoot
results: []
language:
- he
metrics:
- f1
- exact_match
pipeline_tag: question-answering
alephbertgimmel_parashoot
This model is a fine-tuned version of imvladikon/alephbertgimmel-base-512 on the imvladikon/parashoot dataset.
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: 3e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0
Training results
***** predict metrics *****
predict_samples = 1102
test_exact_match = 27.7073
test_f1 = 51.787
test_runtime = 0:00:32.05
test_samples_per_second = 34.383
test_steps_per_second = 4.306
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.2
- Tokenizers 0.13.3