flytech/togetherchat-dev-7b-v2

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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
• —trainbatchsize: 10
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 40
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_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