Llama2-13B-no_robots-alpaca-lora

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no_robots-alpaca

This lora was trained with Doctor-Shotgun/no-robots-sharegpt dataset on TheBloke/Llama-2-13B-fp16. It achieves the following results on the evaluation set:

• Loss: 1.6087

Model description

The LoRA was trained on Doctor-Shotgun/no-robots-sharegpt, a ShareGPT converted dataset from the OG HuggingFaceH4/no_robots but with Alpaca prompting.

Prompt template: Alpaca

Below is an instruction that describes a task. Write a response that appropriately completes the request.

### Instruction:
{prompt}

### Response:

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 0.00065
• train_batch_size: 2
• eval_batch_size: 2
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant
• lr_scheduler_warmup_steps: 10
• num_epochs: 2

Training results

Framework versions

• Transformers 4.34.1
• Pytorch 2.0.1+cu117
• Datasets 2.14.6
• Tokenizers 0.14.1

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Open LLM Leaderboard Evaluation Results

Detailed results can be found here