metadata

license: cc-by-nc-4.0
library_name: peft
tags:
  - generated_from_trainer
base_model: 4i-ai/Llama-2-7b-alpaca-es
model-index:
  - name: experiments
    results: []

experiments

This model is a fine-tuned version of 4i-ai/Llama-2-7b-alpaca-es on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 0.0018
eval_runtime: 2.2739
eval_samples_per_second: 21.989
eval_steps_per_second: 3.078
epoch: 42.1053
step: 50

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: 0.0003
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 32
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
training_steps: 50
mixed_precision_training: Native AMP

Framework versions

PEFT 0.10.1.dev0
Transformers 4.40.0.dev0
Pytorch 2.0.0+cu117
Datasets 2.10.1
Tokenizers 0.15.2