DeepakManola
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mistral_sql_instruct

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mistral_sql_instruct

This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0936

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	0.0936

Framework versions

PEFT 0.10.0
Transformers 4.40.2
Pytorch 2.1.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1

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Model tree for DeepakManola/mistral_sql_instruct

Base model

mistralai/Mistral-7B-v0.1

Adapter

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Evaluation results

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