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: 21.6407
- Rewards/chosen: -27.5382
- Rewards/rejected: -10.2163
- Rewards/accuracies: 0.0
- Rewards/margins: -17.3219
- Logps/rejected: -1.0216
- Logps/chosen: -2.7538
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: 5e-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 |
|---|---|---|---|---|---|---|---|---|---|
| 21.4429 | 0.7092 | 400 | 21.6407 | -27.5382 | -10.2163 | 0.0 | -17.3219 | -1.0216 | -2.7538 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.2.0+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1
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Base model
sam-paech/gutenberg3-orpo-exp02