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tfa_output_2025_m02_d22_t15h_53m_11s – AI Model by brando | AlphaNeural AI
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tfa_output_2025_m02_d22_t15h_53m_11s
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transformers
safetensors
llama
text-generation
generated_from_trainer
meta-llama/Llama-3.2-3B
finetune
llama3.2
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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tfa_output_2025_m02_d22_t15h_53m_11s
This model is a fine-tuned version of
meta-llama/Llama-3.2-3B
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.0329
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: 1e-06
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Use OptimizerNames.PAGED_ADAMW with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_ratio: 0.05
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
No log
0
0
1.0329
4.1321
1.0
1
1.0329
Framework versions
Transformers 4.48.0
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0
