---
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: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# experiments

This model is a fine-tuned version of [4i-ai/Llama-2-7b-alpaca-es](https://huggingface.co/4i-ai/Llama-2-7b-alpaca-es) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.3489
- eval_runtime: 9.7593
- eval_samples_per_second: 20.493
- eval_steps_per_second: 2.562
- epoch: 7.7859
- step: 100

## 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: 100
- 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