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---
license: apache-2.0
library_name: peft
tags:
- trl
- reward-trainer
- generated_from_trainer
metrics:
- accuracy
base_model: AI-Sweden-Models/gpt-sw3-1.3b
model-index:
- name: gpt1B_reward_model3
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. -->
# gpt1B_reward_model3
This model is a fine-tuned version of [AI-Sweden-Models/gpt-sw3-1.3b](https://huggingface.co/AI-Sweden-Models/gpt-sw3-1.3b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0352
- Accuracy: 0.9861
## 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-06
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.3575 | 0.11 | 25 | 0.2206 | 0.9306 |
| 0.1995 | 0.21 | 50 | 0.1291 | 0.9688 |
| 0.0682 | 0.32 | 75 | 0.0842 | 0.9792 |
| 0.1319 | 0.43 | 100 | 0.0618 | 0.9792 |
| 0.0931 | 0.54 | 125 | 0.0486 | 0.9826 |
| 0.0669 | 0.64 | 150 | 0.0402 | 0.9861 |
| 0.0329 | 0.75 | 175 | 0.0365 | 0.9861 |
| 0.0237 | 0.86 | 200 | 0.0350 | 0.9861 |
| 0.0229 | 0.97 | 225 | 0.0352 | 0.9861 |
### Framework versions
- PEFT 0.8.2
- Transformers 4.38.1
- Pytorch 2.2.0+cu118
- Datasets 2.17.1
- Tokenizers 0.15.2 |