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uf-mistral-it-dpo-iopo-iter1-short – AI Model by nlee-208 | AlphaNeural AI
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nlee-208
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uf-mistral-it-dpo-iopo-iter1-short
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transformers
tensorboard
safetensors
mistral
text-generation
alignment-handbook
trl
dpo
generated_from_trainer
conversational
nlee-208/uf-mistral-iopo-iter1-short
mistralai/Mistral-7B-Instruct-v0.2
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
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uf-mistral-it-dpo-iopo-iter1-short
This model is a fine-tuned version of
mistralai/Mistral-7B-Instruct-v0.2
on the nlee-208/uf-mistral-iopo-iter1-short dataset.
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: 5e-07
train_batch_size: 4
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 4
total_train_batch_size: 32
total_eval_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1
Training results
Framework versions
Transformers 4.42.4
Pytorch 2.1.2.post303
Datasets 2.18.0
Tokenizers 0.19.1
