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 an unknown 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: 0.0001
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