---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
base_model: princeton-nlp/Sheared-LLaMA-1.3B
model-index:
- name: fluent-capybara-27-replication
  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. -->

# fluent-capybara-27-replication

This model is a fine-tuned version of [princeton-nlp/Sheared-LLaMA-1.3B](https://huggingface.co/princeton-nlp/Sheared-LLaMA-1.3B) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2483

## 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: 2.5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 100
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 200
- num_epochs: 5.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.7039        | 1.0   | 750  | 2.6816          |
| 2.4411        | 2.0   | 1500 | 2.4269          |
| 2.3104        | 3.0   | 2250 | 2.3173          |
| 2.2149        | 4.0   | 3001 | 2.2593          |
| 2.0649        | 5.0   | 3750 | 2.2483          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.39.1
- Pytorch 2.1.2+cu118
- Datasets 2.18.0
- Tokenizers 0.15.1