---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: ericzzz/falcon-rw-1b-instruct-openorca
model-index:
- name: falcon-rw-1b-instruct-openorca-retrained_network_corpus
  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. -->

# falcon-rw-1b-instruct-openorca-retrained_network_corpus

This model is a fine-tuned version of [ericzzz/falcon-rw-1b-instruct-openorca](https://huggingface.co/ericzzz/falcon-rw-1b-instruct-openorca) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5152

## 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: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 3.7165        | 0.5714 | 1    | 2.1857          |
| 1.7689        | 1.7143 | 3    | 1.9718          |
| 1.588         | 2.8571 | 5    | 1.7478          |
| 1.4636        | 4.0    | 7    | 1.6172          |
| 2.7378        | 4.5714 | 8    | 1.5710          |
| 0.9276        | 5.7143 | 10   | 1.5152          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1