---
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: models/fluent-capybara-27-replication-merged
model-index:
- name: Sheared-Llama-1.3b-koalpaca-instruction-ft-lora-240328-1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Sheared-Llama-1.3b-koalpaca-instruction-ft-lora-240328-1

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3978

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.3713        | 0.99  | 148  | 2.4699          |
| 2.3834        | 2.0   | 297  | 2.4172          |
| 2.2654        | 3.0   | 446  | 2.3985          |
| 2.186         | 4.0   | 595  | 2.3957          |
| 2.1947        | 4.97  | 740  | 2.3978          |


### Framework versions

- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.2.0+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2