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martimfasantos_-_tinyllama-1.1b-mt-simpo_beta2.0_gamma1.6_LR5e-8_BS16_rmsprop_2epochs-awq – AI Model by RichardErkhov | AlphaNeural AI
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tinyllama-1.1b-mt-simpo_beta2.0_gamma1.6_LR5e-8_BS16_rmsprop_2epochs - AWQ
Model creator:
https://huggingface.co/martimfasantos/
Original model:
https://huggingface.co/martimfasantos/tinyllama-1.1b-mt-simpo_beta2.0_gamma1.6_LR5e-8_BS16_rmsprop_2epochs/
Original model description:
license: apache-2.0 base_model: martimfasantos/tinyllama-1.1b-mt-sft-full tags:
alignment-handbook
trl
dpo
generated_from_trainer
trl
dpo
generated_from_trainer datasets:
haoranxu/ALMA-R-Preference model-index:
name: tinyllama-1.1b-mt-simpo_beta2.0_gamma1.6_LR5e-8_BS16_rmsprop_2epochs results: []
tinyllama-1.1b-mt-simpo_beta2.0_gamma1.6_LR5e-8_BS16_rmsprop_2epochs
This model is a fine-tuned version of
martimfasantos/tinyllama-1.1b-mt-sft-full
on the haoranxu/ALMA-R-Preference 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-08
train_batch_size: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
gradient_accumulation_steps: 2
total_train_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: 2
Training results
Framework versions
Transformers 4.41.2
Pytorch 2.1.2
Datasets 2.20.0
Tokenizers 0.19.1
