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---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: petals-team/falcon-rw-1b
model-index:
- name: GenAI-task-2-ModelD-DS
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. -->
# GenAI-task-2-ModelD-DS
This model is a fine-tuned version of [petals-team/falcon-rw-1b](https://huggingface.co/petals-team/falcon-rw-1b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8551
## 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: 2e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.01
- num_epochs: 2
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.538 | 0.0316 | 20 | 1.4898 |
| 2.1944 | 0.0631 | 40 | 1.4676 |
| 2.2479 | 0.0947 | 60 | 1.4396 |
| 1.7654 | 0.1263 | 80 | 1.3892 |
| 2.1763 | 0.1579 | 100 | 1.3834 |
| 1.3644 | 0.1894 | 120 | 1.3282 |
| 1.6781 | 0.2210 | 140 | 1.3058 |
| 1.7429 | 0.2526 | 160 | 1.2880 |
| 1.37 | 0.2841 | 180 | 1.2483 |
| 1.8196 | 0.3157 | 200 | 1.2511 |
| 1.223 | 0.3473 | 220 | 1.2120 |
| 1.5357 | 0.3788 | 240 | 1.2171 |
| 1.6471 | 0.4104 | 260 | 1.1906 |
| 1.271 | 0.4420 | 280 | 1.1818 |
| 1.7222 | 0.4736 | 300 | 1.1788 |
| 1.2022 | 0.5051 | 320 | 1.1170 |
| 1.4455 | 0.5367 | 340 | 1.1633 |
| 1.7014 | 0.5683 | 360 | 1.1011 |
| 1.1309 | 0.5998 | 380 | 1.0815 |
| 1.6978 | 0.6314 | 400 | 1.0966 |
| 1.0796 | 0.6630 | 420 | 1.0325 |
| 1.4504 | 0.6946 | 440 | 1.0429 |
| 1.4698 | 0.7261 | 460 | 1.0216 |
| 1.0858 | 0.7577 | 480 | 1.0031 |
| 1.4275 | 0.7893 | 500 | 1.0115 |
| 0.9607 | 0.8208 | 520 | 0.9771 |
| 1.2579 | 0.8524 | 540 | 0.9792 |
| 1.3363 | 0.8840 | 560 | 0.9608 |
| 1.0551 | 0.9155 | 580 | 0.9471 |
| 1.531 | 0.9471 | 600 | 0.9530 |
| 0.9776 | 0.9787 | 620 | 0.9321 |
| 1.374 | 1.0103 | 640 | 0.9257 |
| 0.9688 | 1.0418 | 660 | 0.9217 |
| 1.464 | 1.0734 | 680 | 0.9278 |
| 1.0608 | 1.1050 | 700 | 0.9040 |
| 1.0711 | 1.1365 | 720 | 0.9017 |
| 1.2806 | 1.1681 | 740 | 0.8954 |
| 0.9129 | 1.1997 | 760 | 0.8877 |
| 1.2161 | 1.2313 | 780 | 0.8907 |
| 1.0221 | 1.2628 | 800 | 0.8794 |
| 1.1306 | 1.2944 | 820 | 0.8782 |
| 1.3235 | 1.3260 | 840 | 0.8768 |
| 0.9663 | 1.3575 | 860 | 0.8711 |
| 1.3124 | 1.3891 | 880 | 0.8716 |
| 1.0169 | 1.4207 | 900 | 0.8663 |
| 1.1686 | 1.4522 | 920 | 0.8658 |
| 1.2976 | 1.4838 | 940 | 0.8656 |
| 0.8896 | 1.5154 | 960 | 0.8620 |
| 1.3252 | 1.5470 | 980 | 0.8623 |
| 1.0821 | 1.5785 | 1000 | 0.8601 |
| 1.1595 | 1.6101 | 1020 | 0.8594 |
| 1.4023 | 1.6417 | 1040 | 0.8591 |
| 0.8901 | 1.6732 | 1060 | 0.8574 |
| 1.2387 | 1.7048 | 1080 | 0.8575 |
| 0.9921 | 1.7364 | 1100 | 0.8564 |
| 1.0593 | 1.7680 | 1120 | 0.8558 |
| 1.3434 | 1.7995 | 1140 | 0.8558 |
| 0.8345 | 1.8311 | 1160 | 0.8554 |
| 1.3537 | 1.8627 | 1180 | 0.8554 |
| 1.0417 | 1.8942 | 1200 | 0.8552 |
| 1.0643 | 1.9258 | 1220 | 0.8551 |
| 1.2218 | 1.9574 | 1240 | 0.8551 |
| 1.1633 | 1.9890 | 1260 | 0.8551 |
### Framework versions
- PEFT 0.10.0
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1 |