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bart-finetuned-meetings – AI Model by jainr3 | AlphaNeural AI
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bart-finetuned-meetings
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transformers
pytorch
bart
text2text-generation
generated_from_trainer
apache-2.0
endpoints_compatible
us
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results
This model is a fine-tuned version of
sshleifer/distilbart-xsum-12-3
on the
knkarthick/AMI
,
knkarthick/dialogsum
, and
samsum
datasets. It achieves the following results on the evaluation set:
eval_loss: 3.0155
eval_rouge1: 46.2466
eval_rouge2: 21.7289
eval_rougeL: 38.0362
eval_rougeLsum: 41.8935
eval_gen_len: 25.8284
eval_runtime: 554.679
eval_samples_per_second: 5.609
eval_steps_per_second: 1.403
epoch: 0.33
step: 2317
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
lr_scheduler_warmup_steps: 500
num_epochs: 1
label_smoothing_factor: 0.1
Framework versions
Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3
