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Mistral-7B-text-to-sql-flash-attention

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metadata
base_model: mistralai/Mistral-7B-Instruct-v0.1
datasets:
  - generator
library_name: peft
license: apache-2.0
tags:
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: Mixtral-8x7B-Instruct-v0.1-text-to-sql
    results: []

Mixtral-8x7B-Instruct-v0.1-text-to-sql

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.1 on the generator dataset.

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: 0.0002
  • train_batch_size: 3
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 6
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant
  • lr_scheduler_warmup_ratio: 0.03
  • num_epochs: 3

Training results

Framework versions

  • PEFT 0.13.2
  • Transformers 4.45.2
  • Pytorch 2.4.1+cu121
  • Datasets 3.0.1
  • Tokenizers 0.20.1