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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-task2-ModelB
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-ModelB
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: 1.0712
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.4819 | 0.05 | 20 | 1.5761 |
| 1.6396 | 0.1 | 40 | 1.4181 |
| 1.4715 | 0.15 | 60 | 1.3053 |
| 1.2372 | 0.2 | 80 | 1.2440 |
| 1.3006 | 0.25 | 100 | 1.2091 |
| 1.117 | 0.3 | 120 | 1.1826 |
| 1.1284 | 0.35 | 140 | 1.1691 |
| 1.1199 | 0.4 | 160 | 1.1582 |
| 1.1853 | 0.45 | 180 | 1.1457 |
| 1.1308 | 0.5 | 200 | 1.1411 |
| 1.0031 | 0.55 | 220 | 1.1288 |
| 1.1332 | 0.6 | 240 | 1.1233 |
| 1.1182 | 0.65 | 260 | 1.1185 |
| 1.0737 | 0.7 | 280 | 1.1131 |
| 1.1858 | 0.75 | 300 | 1.1078 |
| 1.0432 | 0.8 | 320 | 1.1026 |
| 1.0895 | 0.85 | 340 | 1.0983 |
| 1.1091 | 0.9 | 360 | 1.0949 |
| 1.0866 | 0.95 | 380 | 1.0927 |
| 1.1613 | 1.0 | 400 | 1.0955 |
| 1.0328 | 1.05 | 420 | 1.0861 |
| 1.0603 | 1.1 | 440 | 1.0842 |
| 1.0627 | 1.15 | 460 | 1.0826 |
| 0.9571 | 1.2 | 480 | 1.0802 |
| 1.0478 | 1.25 | 500 | 1.0808 |
| 1.0482 | 1.3 | 520 | 1.0777 |
| 1.0552 | 1.35 | 540 | 1.0770 |
| 1.0545 | 1.4 | 560 | 1.0778 |
| 0.9966 | 1.45 | 580 | 1.0750 |
| 1.0967 | 1.5 | 600 | 1.0747 |
| 1.0334 | 1.55 | 620 | 1.0736 |
| 1.0981 | 1.6 | 640 | 1.0726 |
| 1.016 | 1.65 | 660 | 1.0726 |
| 1.0358 | 1.7 | 680 | 1.0718 |
| 1.0838 | 1.75 | 700 | 1.0718 |
| 1.0066 | 1.8 | 720 | 1.0715 |
| 1.1167 | 1.85 | 740 | 1.0713 |
| 1.0809 | 1.9 | 760 | 1.0713 |
| 1.0526 | 1.95 | 780 | 1.0712 |
| 1.1084 | 2.0 | 800 | 1.0712 |
### Framework versions
- PEFT 0.10.0
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1 |