llama2-violencia_genero2 – AI Model by MelisaO | AlphaNeural AI

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MelisaO/
llama2-violencia_genero2

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Qwen/Qwen2.5-Math-1.5B

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llama2-violencia_genero2

This model is a fine-tuned version of Qwen/Qwen2.5-Math-1.5B on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 8.5655

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-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 32
total_train_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_steps: 10
num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	3	8.6484
No log	2.0	6	8.6932
No log	3.0	9	8.6692
8.6405	4.0	12	8.6176
8.6405	5.0	15	8.6439
8.6405	6.0	18	8.5928
8.6401	7.0	21	8.6191
8.6401	8.0	24	8.5939
8.6401	9.0	27	8.5711
8.6115	10.0	30	8.5655

Framework versions

PEFT 0.14.0
Transformers 4.48.3
Pytorch 2.6.0+cu124
Datasets 3.3.2
Tokenizers 0.21.0