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SPAS

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pegasus-summarization_longshort_text_150

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

Loss: 0.9256

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: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss
0.6829	10.01	500	0.7299
0.2991	20.03	1000	0.7413
0.1678	30.04	1500	0.8474
0.1387	40.05	2000	0.9256

Framework versions

Transformers 4.38.1
Pytorch 2.1.2
Datasets 2.15.0
Tokenizers 0.15.2

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Model tree for SKLEGEND/SPAS

Base model

google/pegasus-cnn_dailymail

Finetuned

(156)

this model

Evaluation results

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