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Mistral_Sparse_pretraining_80_percent – AI Model by thrunlab | AlphaNeural AI
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Mistral_Sparse_pretraining_80_percent
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transformers
safetensors
mistral
trl
sft
generated_from_trainer
apache-2.0
text-generation-inference
endpoints_compatible
us
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Mistral_Sparse_pretraining_80_percent
This model is a fine-tuned version of
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 3.8189
Accuracy: 0.6641
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: 8
eval_batch_size: 32
seed: 0
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 2
total_train_batch_size: 32
total_eval_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 1
Training results
Framework versions
Transformers 4.35.2
Pytorch 2.1.1+cu121
Datasets 2.15.0
Tokenizers 0.15.0
