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metadata
license: llama2
base_model: togethercomputer/LLaMA-2-7B-32K
tags:
  - generated_from_trainer
model-index:
  - name: togetherchat-dev-7b-v2
    results: []

togetherchat-dev-7b-v2

This model is a fine-tuned version of togethercomputer/LLaMA-2-7B-32K on 25000 entries for 3 epochs.

Model description

Model can be used for text-to-code generation and for further fine-tuning, Colab notebook example (on free T4 GPU) soon!

Datasets used:

  • evol-codealpaca-80k - 10000 entries
  • codealpaca-20k - 10000 entries
  • open-platypus - 5000 entries

Intended uses & limitations

Please remember that model may (and will) produce inaccurate informations, you need to fine-tune it for your specific task.

Training and evaluation data

See 'Metrics'

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 0.0001
  • train_batch_size: 10
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 40
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 3

Training results

Framework versions

  • Transformers 4.33.1
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.5
  • Tokenizers 0.13.3