---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: petals-team/falcon-rw-1b
model-index:
- name: GenAI-task2-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-task2-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: 0.6983

## 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 |
|:-------------:|:------:|:----:|:---------------:|
| 1.5185        | 0.0316 | 20   | 1.4331          |
| 2.0381        | 0.0631 | 40   | 1.4158          |
| 2.0446        | 0.0947 | 60   | 1.3606          |
| 1.5993        | 0.1263 | 80   | 1.2881          |
| 1.7903        | 0.1579 | 100  | 1.2838          |
| 1.2226        | 0.1894 | 120  | 1.1627          |
| 1.4407        | 0.2210 | 140  | 1.1587          |
| 1.5104        | 0.2526 | 160  | 1.1219          |
| 1.1543        | 0.2841 | 180  | 1.0469          |
| 1.5322        | 0.3157 | 200  | 1.0498          |
| 1.0461        | 0.3473 | 220  | 0.9775          |
| 1.2949        | 0.3788 | 240  | 0.9830          |
| 1.3357        | 0.4104 | 260  | 0.9445          |
| 1.0266        | 0.4420 | 280  | 0.9118          |
| 1.3746        | 0.4736 | 300  | 0.9135          |
| 0.9231        | 0.5051 | 320  | 0.8550          |
| 1.21          | 0.5367 | 340  | 0.8641          |
| 1.3771        | 0.5683 | 360  | 0.8333          |
| 0.885         | 0.5998 | 380  | 0.8256          |
| 1.3633        | 0.6314 | 400  | 0.8445          |
| 0.8467        | 0.6630 | 420  | 0.7880          |
| 1.1924        | 0.6946 | 440  | 0.8053          |
| 1.152         | 0.7261 | 460  | 0.7812          |
| 0.8539        | 0.7577 | 480  | 0.7842          |
| 1.1079        | 0.7893 | 500  | 0.7932          |
| 0.7215        | 0.8208 | 520  | 0.7558          |
| 0.993         | 0.8524 | 540  | 0.7734          |
| 1.0678        | 0.8840 | 560  | 0.7496          |
| 0.8093        | 0.9155 | 580  | 0.7520          |
| 1.185         | 0.9471 | 600  | 0.7628          |
| 0.7553        | 0.9787 | 620  | 0.7391          |
| 1.0549        | 1.0103 | 640  | 0.7356          |
| 0.7007        | 1.0418 | 660  | 0.7312          |
| 1.1089        | 1.0734 | 680  | 0.7379          |
| 0.7699        | 1.1050 | 700  | 0.7222          |
| 0.808         | 1.1365 | 720  | 0.7227          |
| 0.995         | 1.1681 | 740  | 0.7198          |
| 0.684         | 1.1997 | 760  | 0.7142          |
| 0.9129        | 1.2313 | 780  | 0.7163          |
| 0.7775        | 1.2628 | 800  | 0.7110          |
| 0.8643        | 1.2944 | 820  | 0.7135          |
| 0.9359        | 1.3260 | 840  | 0.7096          |
| 0.728         | 1.3575 | 860  | 0.7108          |
| 0.9421        | 1.3891 | 880  | 0.7130          |
| 0.7606        | 1.4207 | 900  | 0.7042          |
| 0.9158        | 1.4522 | 920  | 0.7077          |
| 0.9677        | 1.4838 | 940  | 0.7045          |
| 0.6616        | 1.5154 | 960  | 0.7023          |
| 0.9689        | 1.5470 | 980  | 0.7024          |
| 0.8237        | 1.5785 | 1000 | 0.7010          |
| 0.8537        | 1.6101 | 1020 | 0.7034          |
| 1.0436        | 1.6417 | 1040 | 0.7014          |
| 0.6457        | 1.6732 | 1060 | 0.6999          |
| 0.8927        | 1.7048 | 1080 | 0.7000          |
| 0.7719        | 1.7364 | 1100 | 0.6991          |
| 0.7837        | 1.7680 | 1120 | 0.6989          |
| 1.0018        | 1.7995 | 1140 | 0.6988          |
| 0.6091        | 1.8311 | 1160 | 0.6984          |
| 0.9807        | 1.8627 | 1180 | 0.6984          |
| 0.8018        | 1.8942 | 1200 | 0.6983          |
| 0.7864        | 1.9258 | 1220 | 0.6983          |
| 0.8791        | 1.9574 | 1240 | 0.6983          |
| 0.8781        | 1.9890 | 1260 | 0.6983          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1