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

sam-paech/Quill-v0.9

gemma-2-9b-it-gutenberg3

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

sam-paech/
Quill-v0.9