metadata
library_name: transformers
base_model: sam-paech/gutenberg3-orpo-exp02
tags:
- alignment-handbook
- generated_from_trainer
datasets:
- sam-paech/gutenberg3-generalfiction-scifi-fantasy-romance-adventure-dpo
model-index:
- name: gemma-2-9b-it-gutenberg3
results: []
gemma-2-9b-it-gutenberg3
This model is a fine-tuned version of sam-paech/gutenberg3-orpo-exp02 on the sam-paech/gutenberg3-generalfiction-scifi-fantasy-romance-adventure-dpo dataset. It achieves the following results on the evaluation set:
- Loss: 20.3722
- Rewards/chosen: -27.5820
- Rewards/rejected: -11.3463
- Rewards/accuracies: 0.0
- Rewards/margins: -16.2357
- Logps/rejected: -1.1346
- Logps/chosen: -2.7582
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: 5.8e-08
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 5
- gradient_accumulation_steps: 2
- total_train_batch_size: 10
- total_eval_batch_size: 5
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen |
|---|---|---|---|---|---|---|---|---|---|
| 20.2621 | 0.7092 | 400 | 20.3722 | -27.5820 | -11.3463 | 0.0 | -16.2357 | -1.1346 | -2.7582 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.2.0+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1