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gemma-2-2b-it-mt-dpo-full_sardine – AI Model by martimfasantos | AlphaNeural AI
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martimfasantos
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gemma-2-2b-it-mt-dpo-full_sardine
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tensorboard
safetensors
gemma2
alignment-handbook
trl
dpo
generated_from_trainer
sardinelab/MT-pref
martimfasantos/gemma-2-2b-it-mt-sft-full_sardine
finetune
gemma
us
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gemma-2-2b-it-mt-dpo-full_sardine
This model is a fine-tuned version of
martimfasantos/gemma-2-2b-it-mt-sft-full_sardine
on the sardinelab/MT-pref 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: 1e-07
train_batch_size: 1
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 32
total_train_batch_size: 64
total_eval_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
Training results
Framework versions
Transformers 4.43.3
Pytorch 2.1.2+cu121
Datasets 2.20.0
Tokenizers 0.19.1
