metadata

license: llama2
library_name: peft
tags:
  - trl
  - sft
  - generated_from_trainer
base_model: swap-uniba/LLaMAntino-2-7b-hf-ITA
model-index:
  - name: llamantino7b_2_2_syntetic-question-answering
    results: []

llamantino7b_2_2_syntetic-question-answering

This model is a fine-tuned version of swap-uniba/LLaMAntino-2-7b-hf-ITA on the None 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: 0.0002
train_batch_size: 4
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: 0.03
num_epochs: 3

Training results

Framework versions

PEFT 0.8.2
Transformers 4.38.0.dev0
Pytorch 2.0.1+cu117
Datasets 2.16.1
Tokenizers 0.15.2