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ReMA-PS-7B-SFT – AI Model by OhCherryFire | AlphaNeural AI
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OhCherryFire
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ReMA-PS-7B-SFT
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transformers
safetensors
qwen2
text-generation
llama-factory
full
generated_from_trainer
conversational
Qwen/Qwen2.5-7B
finetune
other
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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ps_7b_full
This model is a fine-tuned version of
Qwen/Qwen2.5-7B
on the mta_multi_turn_mamrp and the ra_multi_turn_mamrp datasets.
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-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 8
total_eval_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 3.0
Training results
Framework versions
Transformers 4.45.2
Pytorch 2.4.0+cu121
Datasets 3.1.0
Tokenizers 0.20.3
