bulkbeings/emma_assistant_adapters_legacy_v0.1

emma_assistant_v0.3

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the emma_assistant dataset. It achieves the following results on the evaluation set:

• Loss: 1.1406

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: 0.001
• train_batch_size: 2
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• num_epochs: 5.0

Training results

Training Loss	Epoch	Step	Validation Loss
0.9342	2.55	200	1.1406

Framework versions

• PEFT 0.9.0
• Transformers 4.38.2
• Pytorch 2.1.0+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2