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metadata
base_model: mistralai/Mistral-7B-Instruct-v0.3
datasets:
  - generator
library_name: peft
license: apache-2.0
tags:
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: Mistral-7B-text-to-sql-flash-attention-2-FAISS
    results: []

Mistral-7B-text-to-sql-flash-attention-2-FAISS

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.3 on the generator dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4583

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: 8
  • total_train_batch_size: 24
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant
  • lr_scheduler_warmup_ratio: 0.03
  • lr_scheduler_warmup_steps: 15
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss
1.8409 0.4 10 0.6999
0.616 0.8 20 0.5322
0.4977 1.2 30 0.4910
0.4486 1.6 40 0.4661
0.4313 2.0 50 0.4529
0.36 2.4 60 0.4620
0.3534 2.8 70 0.4583

Framework versions

  • PEFT 0.11.1
  • Transformers 4.42.3
  • Pytorch 2.3.0+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1