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sqlcoder2-fasttrain – AI Model by darshsingh1 | AlphaNeural AI
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darshsingh1
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sqlcoder2-fasttrain
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safetensors
generated_from_trainer
mpachauri/TrainingDataset
NousResearch/Llama-2-7b-hf
finetune
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sqlcoder2-fasttrain
This model is a fine-tuned version of
NousResearch/Llama-2-7b-hf
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: nan
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: 0.5
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 500
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1769705.472
0.52
500
nan
Framework versions
Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1
