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license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: tiiuae/falcon-rw-1b
model-index:
- name: qlora-out
results: []
---
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[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
# qlora-out
This model is a fine-tuned version of [tiiuae/falcon-rw-1b](https://huggingface.co/tiiuae/falcon-rw-1b) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2365
## 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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.3201 | 0.0 | 5 | 1.9676 |
| 2.2557 | 0.0 | 10 | 1.7400 |
| 1.571 | 0.0 | 15 | 1.6036 |
| 1.3875 | 0.01 | 20 | 1.5074 |
| 1.5436 | 0.01 | 25 | 1.4680 |
| 1.4257 | 0.01 | 30 | 1.4222 |
| 1.097 | 0.01 | 35 | 1.4049 |
| 1.4748 | 0.01 | 40 | 1.3831 |
| 1.1752 | 0.01 | 45 | 1.3784 |
| 1.3857 | 0.01 | 50 | 1.3780 |
| 1.5965 | 0.01 | 55 | 1.3631 |
| 1.071 | 0.02 | 60 | 1.3275 |
| 1.197 | 0.02 | 65 | 1.3171 |
| 1.8883 | 0.02 | 70 | 1.3108 |
| 1.0119 | 0.02 | 75 | 1.3053 |
| 1.399 | 0.02 | 80 | 1.3035 |
| 1.5369 | 0.02 | 85 | 1.3028 |
| 1.5707 | 0.02 | 90 | 1.2982 |
| 1.0073 | 0.03 | 95 | 1.3020 |
| 1.1018 | 0.03 | 100 | 1.2908 |
| 1.2036 | 0.03 | 105 | 1.2742 |
| 1.2444 | 0.03 | 110 | 1.2967 |
| 0.6345 | 0.03 | 115 | 1.2656 |
| 1.0579 | 0.03 | 120 | 1.2641 |
| 1.2388 | 0.03 | 125 | 1.2543 |
| 1.0607 | 0.04 | 130 | 1.2552 |
| 1.0723 | 0.04 | 135 | 1.2611 |
| 1.3775 | 0.04 | 140 | 1.2582 |
| 1.1543 | 0.04 | 145 | 1.2527 |
| 1.1324 | 0.04 | 150 | 1.2365 |
| 0.7309 | 0.04 | 155 | 1.2445 |
| 1.3585 | 0.04 | 160 | 1.2491 |
| 1.0855 | 0.04 | 165 | 1.2365 |
### Framework versions
- PEFT 0.7.1.dev0
- Transformers 4.36.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.15.0
- Tokenizers 0.15.0 |