qlora-adapter-Llama-2-7b-hf-databricks-dolly-15k

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qlora-adapter-Llama-2-7b-hf-databricks-dolly-15k

This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the databricks/databricks-dolly-15k dataset.

It achieves the following results on the evaluation set:

• Loss: 1.1313

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Trained on RTX A5000 - 24GB GPU. The training took 3 hours 31 mins on the datasets with 12008 train samples and 1501 validation samples

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 0.0001
• train_batch_size: 1
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.05
• num_epochs: 1

Training results

Framework versions

• Transformers 4.33.3
• Pytorch 2.0.1+cu118
• Datasets 2.14.5
• Tokenizers 0.13.3