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Rud/
bigbird_lora_multi_lexsum

Name: bigbird_lora_multi_lexsum
Availability: InStock

peft

tensorboard

safetensors

generated_from_trainer

google/bigbird-pegasus-large-bigpatent

adapter

apache-2.0

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bigbird_lora_multi_lexsum

This model is a fine-tuned version of google/bigbird-pegasus-large-bigpatent on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 9.1007
Rouge1: 0.197
Rouge2: 0.0165
Rougel: 0.1446
Rougelsum: 0.1445
Gen Len: 235.208

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: 2e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.03
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
9.2003	1.0	850	9.1012	0.1982	0.0162	0.1439	0.1441	234.016
9.151	2.0	1700	9.1007	0.197	0.0165	0.1446	0.1445	235.208

Framework versions

PEFT 0.10.0
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

Rud/bigbird_lora_multi_lexsum

bigbird_lora_multi_lexsum

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Rud/
bigbird_lora_multi_lexsum