---
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-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-ModelB-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: 0.7129

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.384         | 0.1   | 20   | 1.3865          |
| 1.3566        | 0.2   | 40   | 1.2177          |
| 1.1994        | 0.3   | 60   | 1.0759          |
| 1.1201        | 0.4   | 80   | 0.9830          |
| 0.8714        | 0.5   | 100  | 0.9083          |
| 0.9164        | 0.6   | 120  | 0.8488          |
| 0.7921        | 0.7   | 140  | 0.8116          |
| 0.7861        | 0.8   | 160  | 0.7901          |
| 0.8395        | 0.9   | 180  | 0.7645          |
| 0.5803        | 1.0   | 200  | 0.7605          |
| 0.8115        | 1.1   | 220  | 0.7420          |
| 0.687         | 1.2   | 240  | 0.7307          |
| 0.6314        | 1.3   | 260  | 0.7258          |
| 0.8237        | 1.4   | 280  | 0.7206          |
| 0.5456        | 1.5   | 300  | 0.7218          |
| 0.8775        | 1.6   | 320  | 0.7158          |
| 0.6114        | 1.7   | 340  | 0.7134          |
| 0.668         | 1.8   | 360  | 0.7137          |
| 0.756         | 1.9   | 380  | 0.7130          |
| 0.5245        | 2.0   | 400  | 0.7129          |


### Framework versions

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