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ministral3b-toon-sft-full-2ep – AI Model by Vulgaire | AlphaNeural AI
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Vulgaire
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ministral3b-toon-sft-full-2ep
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peft
safetensors
adapter
lora
transformers
text-generation
mistralai/Ministral-3-3B-Instruct-2512-BF16
apache-2.0
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ministral3b-toon-sft-full-2ep
This model is a fine-tuned version of
mistralai/Ministral-3-3B-Instruct-2512-BF16
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0961
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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 0.03
num_epochs: 2.0
Training results
Training Loss
Epoch
Step
Validation Loss
0.1446
0.4728
100
0.1135
0.1315
0.9456
200
0.1038
0.1210
1.4161
300
0.0986
0.0999
1.8889
400
0.0961
Framework versions
PEFT 0.18.1
Transformers 5.2.0
Pytorch 2.10.0+cu128
Datasets 4.6.1
Tokenizers 0.22.2
