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opt125m-full-billsum – AI Model by clee9 | AlphaNeural AI
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clee9
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opt125m-full-billsum
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transformers
safetensors
opt
text-generation
generated_from_trainer
facebook/opt-125m
finetune
other
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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opt-125m-full-billsum
This model is a fine-tuned version of
facebook/opt-125m
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: 0.0002
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1
num_epochs: 3
Training results
Evaluation Results (Validation): {'rouge1': 0.3162, 'rouge2': 0.1076, 'rougeL': 0.21, 'rougeLsum': 0.2332}
Evaluation Results (Test): {'rouge1': 0.4993, 'rouge2': 0.3035, 'rougeL': 0.3973, 'rougeLsum': 0.4228}
Framework versions
Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
