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bart-large-cnn-samsum-finetuned-stocknews_2000_trial_1 – AI Model by sujayC66 | AlphaNeural AI
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bart-large-cnn-samsum-finetuned-stocknews_2000_trial_1
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transformers
tensorboard
safetensors
bart
text2text-generation
generated_from_trainer
philschmid/bart-large-cnn-samsum
finetune
mit
endpoints_compatible
us
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bart-large-cnn-samsum-finetuned-stocknews_2000_trial_1
This model is a fine-tuned version of
philschmid/bart-large-cnn-samsum
on an unknown dataset.
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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 128
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
Framework versions
Transformers 4.38.1
Pytorch 2.1.2
Datasets 2.1.0
Tokenizers 0.15.2
