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unsup-Llama-3.2-1B-Instruct-2114364 – AI Model by ferrazzipietro | AlphaNeural AI
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unsup-Llama-3.2-1B-Instruct-2114364
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transformers
safetensors
llama
text-generation
generated_from_trainer
conversational
meta-llama/Llama-3.2-1B-Instruct
finetune
llama3.2
text-generation-inference
endpoints_compatible
us
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unsup-Llama-3.2-1B-Instruct-2114364
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: 2.4106
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: 0.0003
train_batch_size: 128
eval_batch_size: 16
seed: 42
distributed_type: multi-GPU
gradient_accumulation_steps: 4
total_train_batch_size: 512
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-07 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
0.6664
0.1346
1000
1.9885
0.4713
0.2693
2000
2.1561
0.4188
0.4039
3000
2.1328
0.401
0.5385
4000
2.1606
0.3851
0.6732
5000
2.2163
0.37
0.8078
6000
2.3452
0.3582
0.9424
7000
2.4106
Framework versions
Transformers 4.51.0
Pytorch 2.8.0+cu128
Datasets 3.6.0
Tokenizers 0.21.0
