metadata
license: other
library_name: peft
tags:
- trl
- reward-trainer
- generated_from_trainer
base_model: google/gemma-2b
metrics:
- accuracy
model-index:
- name: gemma_2b_oasst1_reward_model
results: []
gemma_2b_oasst1_reward_model
This model is a fine-tuned version of google/gemma-2b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4481
- Accuracy: 0.8036
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: 0.0005
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4696 | 0.38 | 100 | 0.5181 | 0.7542 |
| 0.4327 | 0.76 | 200 | 0.4738 | 0.8025 |
| 0.3946 | 1.15 | 300 | 0.5145 | 0.7924 |
| 0.3372 | 1.53 | 400 | 0.5370 | 0.7890 |
| 0.3618 | 1.91 | 500 | 0.4481 | 0.8036 |
| 0.3292 | 2.29 | 600 | 0.4799 | 0.7991 |
| 0.4514 | 2.68 | 700 | 0.4763 | 0.8013 |
Framework versions
- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2