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Extractor-v1 – AI Model by andyearle | AlphaNeural AI
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andyearle
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Extractor-v1
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peft
safetensors
trl
sft
generated_from_trainer
generator
mistralai/Mistral-7B-v0.1
adapter
apache-2.0
us
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Extractor-v1
This model is a fine-tuned version of
mistralai/Mistral-7B-v0.1
on the generator dataset. It achieves the following results on the evaluation set:
Loss: 0.7403
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: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 0.03
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
0.7611
1.0
1060
0.7403
Framework versions
PEFT 0.9.0
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
