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results – AI Model by AgamP | AlphaNeural AI
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AgamP
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results
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peft
tensorboard
safetensors
trl
sft
generated_from_trainer
mistralai/Mistral-7B-Instruct-v0.2
adapter
apache-2.0
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results
This model is a fine-tuned version of
mistralai/Mistral-7B-Instruct-v0.2
on an unknown 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: 4
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
training_steps: 10
mixed_precision_training: Native AMP
Framework versions
PEFT 0.10.1.dev0
Transformers 4.41.0.dev0
Pytorch 2.1.2
Datasets 2.19.1
Tokenizers 0.19.1
