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sft-4e-exp2 – AI Model by ontocord | AlphaNeural AI
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sft-4e-exp2
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transformers
safetensors
mistral
text-generation
generated_from_trainer
TencentARC/Mistral_Pro_8B_v0.1
finetune
other
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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sft-4e-exp2
This model is an experimental fine-tuned version of
TencentARC/Mistral_Pro_8B_v0.1
.
This model is intended for safety research only.
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-06
train_batch_size: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 4
total_train_batch_size: 128
total_eval_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 10
num_epochs: 4
Training results
arc (25)
hellaswag (10)
mmlu (5)
truthfulqa_mc (20)
winogrande
gsm8k (exact)
avg (exact)
0.6305
0.8413
0.6041
0.5535
0.7624
0.5754
0.6612
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.0
License
This version is to be used for non-commercial research purposes only. We will release open models after we have finished training and evaluations.
