metadata
base_model: Phi-3-mini-4k-instruct
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: Phi-3-mini-4k-instruct-8bit-LMSYS-finetuned-v02
results: []
Phi-3-mini-4k-instruct-8bit-LMSYS-finetuned-v02
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4983
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: 5e-07
- train_batch_size: 1
- eval_batch_size: 1
- seed: 0
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 1
Training results
Framework versions
- PEFT 0.10.0
- Transformers 4.43.3
- Pytorch 2.2.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1