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debug_full_test – AI Model by mtzig | AlphaNeural AI
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debug_full_test
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transformers
safetensors
llama
text-generation
generated_from_trainer
TinyPixel/small-llama2
finetune
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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debug_full_test
This model is a fine-tuned version of
TinyPixel/small-llama2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.2665
Accuracy: 0.6300
Precision: 0.375
Recall: 0.0299
F1: 0.0553
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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 2
total_train_batch_size: 64
total_eval_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH 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: 0.1
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Precision
Recall
F1
1.6327
1.0
5
1.2665
0.6300
0.375
0.0299
0.0553
Framework versions
Transformers 4.46.0
Pytorch 2.5.1+cu124
Datasets 3.1.0
Tokenizers 0.20.3
