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mistral_sql_instruct – AI Model by Sanjaytfg | AlphaNeural AI
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mistral_sql_instruct
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peft
tensorboard
safetensors
trl
sft
generated_from_trainer
wikisql
mistralai/Mistral-7B-v0.1
adapter
apache-2.0
us
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mistral_sql_instruct
This model is a fine-tuned version of
mistralai/Mistral-7B-v0.1
on the wikisql dataset. It achieves the following results on the evaluation set:
Loss: 0.0937
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: 0.0005
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.0921
0.9991
263
0.0937
Framework versions
PEFT 0.11.1
Transformers 4.41.2
Pytorch 2.1.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1
