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llama-legal-sft-v2-tcc – AI Model by apeirum | AlphaNeural AI
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apeirum
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llama-legal-sft-v2-tcc
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peft
safetensors
adapter
lora
transformers
text-generation
conversational
meta-llama/Llama-3.2-1B-Instruct
llama3.2
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llama-legal-sft-v2-tcc
This model is a fine-tuned version of
meta-llama/Llama-3.2-1B-Instruct
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0215
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: 8e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 1.0
Training results
Framework versions
PEFT 0.18.1
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.8.5
Tokenizers 0.22.2
