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mistral-7b-v0.3-sft – AI Model by edinlp | AlphaNeural AI
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mistral-7b-v0.3-sft
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transformers
safetensors
mistral
text-generation
llama-factory
full
generated_from_trainer
conversational
mistralai/Mistral-7B-v0.3
finetune
other
autotrain_compatible
text-generation-inference
endpoints_compatible
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This model is a fine-tuned version of
mistralai/Mistral-7B-v0.3
on the openhermes-2.5 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: 2e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 16
total_train_batch_size: 64
total_eval_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 1.0
Training results
Framework versions
Transformers 4.45.1
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.20.0
