metadata
license: mit
base_model: OpenAssistant/reward-model-deberta-v3-large-v2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: NLP_A2_alt
results: []
NLP_A2_alt
This model is a fine-tuned version of 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