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CDAC-EmoLLMs – AI Model by FloofCat | AlphaNeural AI
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FloofCat
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CDAC-EmoLLMs
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peft
safetensors
generated_from_trainer
facebook/bart-base
adapter
apache-2.0
us
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This model is a fine-tuned version of
facebook/bart-base
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: 1
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.03
num_epochs: 10
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.11.1
Transformers 4.41.2
Pytorch 2.3.1+cu121
Datasets 2.19.2
Tokenizers 0.19.1
