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mixtral-english-finetune – AI Model by Krisbiantoro | AlphaNeural AI
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Krisbiantoro
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mixtral-english-finetune
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peft
safetensors
generated_from_trainer
viggo
mistralai/Mixtral-8x7B-v0.1
adapter
apache-2.0
us
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mixtral-english-finetune
This model is a fine-tuned version of
mistralai/Mixtral-8x7B-v0.1
on the viggo dataset. It achieves the following results on the evaluation set:
Loss: 0.1674
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: 2.5e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 5
training_steps: 700
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.1773
0.55
700
0.1674
Framework versions
PEFT 0.7.2.dev0
Transformers 4.37.0.dev0
Pytorch 2.1.2+cu121
Datasets 2.16.1
Tokenizers 0.15.0
