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ecomOut – AI Model by Occisorer | AlphaNeural AI
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Occisorer
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ecomOut
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peft
tensorboard
safetensors
trl
sft
generated_from_trainer
ybelkada/falcon-7b-sharded-bf16
adapter
us
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ecomOut
This model is a fine-tuned version of
ybelkada/falcon-7b-sharded-bf16
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: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 4
optimizer: Use paged_adamw_32bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
training_steps: 320
Training results
Framework versions
PEFT 0.13.3.dev0
Transformers 4.46.0
Pytorch 2.5.0+cu121
Datasets 3.0.2
Tokenizers 0.20.1
