metadata
library_name: transformers
license: llama3.1
base_model: oxford-llms/llama3-1-ox-llms-8b-sft-full
tags:
- alignment-handbook
- trl
- dpo
- generated_from_trainer
- trl
- dpo
- generated_from_trainer
datasets:
- argilla/dpo-mix-7k
model-index:
- name: llama3-1-ox-llms-8b-dpo-full
results: []
llama3-1-ox-llms-8b-dpo-full
This model is a fine-tuned version of oxford-llms/llama3-1-ox-llms-8b-sft-full on the argilla/dpo-mix-7k dataset. It achieves the following results on the evaluation set:
- Loss: 0.4831
- Rewards/chosen: -0.2543
- Rewards/rejected: -1.0940
- Rewards/accuracies: 0.7708
- Rewards/margins: 0.8397
- Logps/rejected: -340.3136
- Logps/chosen: -325.1967
- Logits/rejected: -1.3101
- Logits/chosen: -1.3085
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: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.528 | 0.9479 | 100 | 0.5267 | -0.0255 | -0.6055 | 0.7604 | 0.5800 | -330.5430 | -320.6201 | -1.3169 | -1.3159 |
| 0.3731 | 1.8957 | 200 | 0.4821 | -0.2481 | -1.0900 | 0.7604 | 0.8419 | -340.2323 | -325.0733 | -1.3099 | -1.3082 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3