metadata
base_model: save_model/llama3-2k-ref-spa_2
tags:
- alignment-handbook
- generated_from_trainer
datasets:
- datasets/training-llama3-2k-ref-spa_3
model-index:
- name: llama3-2k-ref-spa_3
results: []
llama3-2k-ref-spa_3
This model is a fine-tuned version of save_model/llama3-2k-ref-spa_2 on the datasets/training-llama3-2k-ref-spa_3 dataset. It achieves the following results on the evaluation set:
- Loss: 1.2520
- Rewards/chosen: -22.5963
- Rewards/rejected: -23.2370
- Rewards/accuracies: 0.5490
- Rewards/margins: 0.6407
- Rewards/mix Margin: 0.6407
- Logps/rejected: -632.4390
- Logps/chosen: -645.1434
- Logits/rejected: -0.1931
- Logits/chosen: -0.2723
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.3548 | 0.53 | 1000 | 1.2520 | -22.5963 | -23.2370 | 0.5490 | 0.6407 | 0.6407 | -632.4390 | -645.1434 | -0.1931 | -0.2723 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2