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patent-instruct-finetune-model-ner-stablelm – AI Model by shubhamgantayat | AlphaNeural AI
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patent-instruct-finetune-model-ner-stablelm
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peft
tensorboard
safetensors
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stabilityai/stablelm-2-1_6b
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patent-instruct-finetune-model-ner-stablelm
This model is a fine-tuned version of
stabilityai/stablelm-2-1_6b
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.7565
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: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1.7503
1.0
2043
1.7837
1.7292
2.0
4086
1.7616
1.7212
3.0
6129
1.7565
Framework versions
PEFT 0.10.0
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
