---
license: other
tags:
- generated_from_trainer
model-index:
- name: llama-guanaco-7b-ingbetic
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# llama-guanaco-7b-ingbetic

This model is a fine-tuned version of [decapoda-research/llama-7b-hf](https://huggingface.co/decapoda-research/llama-7b-hf) on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.0377
- eval_runtime: 65.5409
- eval_samples_per_second: 27.952
- eval_steps_per_second: 3.494
- epoch: 0.12
- step: 40

## 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: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- training_steps: 100

### Framework versions

- Transformers 4.31.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.12.1.dev0
- Tokenizers 0.13.3