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tinyllama-finetuned-constitution – AI Model by anirudhsankar | AlphaNeural AI
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tinyllama-finetuned-constitution
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peft
safetensors
adapter
lora
transformers
text-generation
TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
apache-2.0
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tinyllama-finetuned-constitution
This model is a fine-tuned version of
TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.8671
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: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.9029
1.3409
500
0.9164
0.828
2.6819
1000
0.8671
Framework versions
PEFT 0.17.0
Transformers 4.55.2
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.21.4
