metadata
base_model: save_model/llama3-2k-rm-ref-spa_2
tags:
- alignment-handbook
- generated_from_trainer
datasets:
- datasets/training-llama3-2k-rm-ref-spa_3
model-index:
- name: llama3-2k-rm-ref-spa_3
results: []
llama3-2k-rm-ref-spa_3
This model is a fine-tuned version of save_model/llama3-2k-rm-ref-spa_2 on the datasets/training-llama3-2k-rm-ref-spa_3 dataset. It achieves the following results on the evaluation set:
- Loss: 0.7454
- Rewards/chosen: -0.8829
- Rewards/rejected: -0.9416
- Rewards/accuracies: 0.5468
- Rewards/margins: 0.0588
- Rewards/mix Margin: 0.0588
- Logps/rejected: -295.0553
- Logps/chosen: -336.0750
- Logits/rejected: -0.4778
- Logits/chosen: -0.4730
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-07
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- total_eval_batch_size: 2
- 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 | Rewards/mix Margin | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.6863 | 0.53 | 1000 | 0.7454 | -0.8829 | -0.9416 | 0.5468 | 0.0588 | 0.0588 | -295.0553 | -336.0750 | -0.4778 | -0.4730 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2