This was trained on a dataset of
only
instructions+outputs, with any
inputs
filtered out. This means that text of
1) cookies and cream 2) chocolate chip 3) mint chip 4) oreo
will
not
get you
"Rank the following ice cream flavors: oreo, mint chip, chocolate chip, cookies and cream"
.
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 8e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
gradient_accumulation_steps: 16
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.02
num_epochs: 3.0
Runs of pszemraj bart-base-instructiongen-LongForm on huggingface.co
13
Total runs
0
24-hour runs
0
3-day runs
2
7-day runs
3
30-day runs
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bart-base-instructiongen-LongForm is an open source model from GitHub that offers a free installation service, and any user can find bart-base-instructiongen-LongForm on GitHub to install. At the same time, huggingface.co provides the effect of bart-base-instructiongen-LongForm install, users can directly use bart-base-instructiongen-LongForm installed effect in huggingface.co for debugging and trial. It also supports api for free installation.
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