---
license: mit
base_model: OpenAssistant/reward-model-deberta-v3-large-v2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: NLP_A2_alt
  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. -->

# NLP_A2_alt

This model is a fine-tuned version of [OpenAssistant/reward-model-deberta-v3-large-v2](https://huggingface.co/OpenAssistant/reward-model-deberta-v3-large-v2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3513
- Accuracy: 0.8834

## 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: 6e-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 2

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| No log        | 0.9988 | 419  | 0.4063          | 0.8767   |
| 0.0925        | 1.9976 | 838  | 0.3513          | 0.8834   |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.19.1