metadata
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: t5-v1_1-large-jflAUGv5-training2-ft1-jflAUG-v5
results: []
t5-v1_1-large-jflAUGv5-training2-ft1-jflAUG-v5
This model is a fine-tuned version of pszemraj/t5-v1_1-large-jflAUGv5-training2 on an unknown 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: 8e-05
- train_batch_size: 4
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 32
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.02
- num_epochs: 1
Framework versions
- Transformers 4.20.1
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1