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yang-summarization – AI Model by xy4286 | AlphaNeural AI
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yang-summarization
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transformers
tensorboard
safetensors
pegasus
text2text-generation
generated_from_trainer
samsum
google/pegasus-cnn_dailymail
finetune
endpoints_compatible
us
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yang-summarization
This model is a fine-tuned version of
google/pegasus-cnn_dailymail
on the samsum dataset. It achieves the following results on the evaluation set:
Loss: 1.4845
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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
1.6718
0.5430
500
1.4845
Framework versions
Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1
