metadata

base_model: allegro_plt5-base_training_20231005_133539_pruned/out
tags:
  - generated_from_trainer
model-index:
  - name: out
    results: []
inference:
  parameters:
    max_length: 512

out

This model is a fine-tuned version of allegro_plt5-base_training_20231005_133539_pruned/out 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: 5e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0

Framework versions

Transformers 4.33.3
Pytorch 2.0.1+cu117
Datasets 2.14.5
Tokenizers 0.13.3