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Rogue-MiniChat-1.5-3B – AI Model by DiegoAI597 | AlphaNeural AI
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DiegoAI597
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Rogue-MiniChat-1.5-3B
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peft
tensorboard
safetensors
trl
sft
generated_from_trainer
generator
GeneZC/MiniChat-1.5-3B
adapter
apache-2.0
us
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Rogue-MiniChat-1.5-3B
This model is a fine-tuned version of
GeneZC/MiniChat-1.5-3B
on the generator dataset. It achieves the following results on the evaluation set:
Loss: 0.9729
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: 0.0001
train_batch_size: 12
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 24
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
2.2186
1.0
109
1.0841
1.0611
2.0
218
1.0355
0.9969
3.0
327
1.0105
0.9458
4.0
436
0.9904
0.8941
5.0
545
0.9729
Framework versions
PEFT 0.7.2.dev0
Transformers 4.36.2
Pytorch 2.3.0+cu121
Datasets 2.16.1
Tokenizers 0.15.2
