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metadata
base_model: mistralai/Mistral-7B-v0.3
datasets:
  - llama-duo/synth_coding_dataset_dedup
library_name: peft
license: apache-2.0
tags:
  - alignment-handbook
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: mistral-7b-0.3-gpt4o_100k_coding-lora
    results: []

mistral-7b-0.3-gpt4o_100k_coding-lora

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

  • Loss: 1.0356

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: 2
  • eval_batch_size: 2
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 8
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 32
  • total_eval_batch_size: 16
  • 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

Training results

Training Loss Epoch Step Validation Loss
0.4351 0.9992 640 1.0356

Framework versions

  • PEFT 0.13.0
  • Transformers 4.45.1
  • Pytorch 2.4.1+cu121
  • Datasets 3.0.1
  • Tokenizers 0.20.0