|
--- |
|
license: llama2 |
|
base_model: meta-llama/Llama-2-7b-hf |
|
tags: |
|
- trl |
|
- dpo |
|
- generated_from_trainer |
|
library_name: peft |
|
model-index: |
|
- name: Llama-2-7b-hf-DPO-LookAhead-5_Q2_TTree1.4_TT0.9_TP0.7_TE0.2_V1 |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# Llama-2-7b-hf-DPO-LookAhead-5_Q2_TTree1.4_TT0.9_TP0.7_TE0.2_V1 |
|
|
|
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.2865 |
|
- Rewards/chosen: -2.3072 |
|
- Rewards/rejected: -1.8542 |
|
- Rewards/accuracies: 0.5 |
|
- Rewards/margins: -0.4531 |
|
- Logps/rejected: -121.6291 |
|
- Logps/chosen: -184.9154 |
|
- Logits/rejected: 0.2000 |
|
- Logits/chosen: 0.1668 |
|
|
|
## 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-05 |
|
- train_batch_size: 2 |
|
- eval_batch_size: 2 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 2 |
|
- total_train_batch_size: 4 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: cosine |
|
- lr_scheduler_warmup_steps: 10 |
|
- num_epochs: 3 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | |
|
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
|
| 0.7102 | 0.3017 | 70 | 0.6900 | 0.0340 | 0.0258 | 0.7000 | 0.0082 | -102.8295 | -161.5030 | 0.6083 | 0.5744 | |
|
| 0.7024 | 0.6034 | 140 | 0.7276 | 0.0806 | 0.1382 | 0.3000 | -0.0575 | -101.7058 | -161.0370 | 0.6015 | 0.5681 | |
|
| 0.6653 | 0.9052 | 210 | 0.7362 | 0.0303 | 0.0739 | 0.4000 | -0.0435 | -102.3490 | -161.5399 | 0.6196 | 0.5858 | |
|
| 0.488 | 1.2069 | 280 | 0.8450 | -0.5919 | -0.4398 | 0.4000 | -0.1521 | -107.4859 | -167.7624 | 0.5482 | 0.5148 | |
|
| 0.5839 | 1.5086 | 350 | 0.8971 | -0.8481 | -0.6497 | 0.4000 | -0.1984 | -109.5843 | -170.3242 | 0.5183 | 0.4846 | |
|
| 0.503 | 1.8103 | 420 | 1.0273 | -1.1487 | -0.8225 | 0.4000 | -0.3262 | -111.3127 | -173.3304 | 0.4207 | 0.3883 | |
|
| 0.2083 | 2.1121 | 490 | 1.1693 | -1.6401 | -1.2436 | 0.4000 | -0.3965 | -115.5236 | -178.2447 | 0.2902 | 0.2576 | |
|
| 0.1395 | 2.4138 | 560 | 1.2310 | -2.1881 | -1.7991 | 0.6000 | -0.3890 | -121.0787 | -183.7240 | 0.2345 | 0.2015 | |
|
| 0.1618 | 2.7155 | 630 | 1.2865 | -2.3072 | -1.8542 | 0.5 | -0.4531 | -121.6291 | -184.9154 | 0.2000 | 0.1668 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.12.0 |
|
- Transformers 4.44.0 |
|
- Pytorch 2.4.0+cu121 |
|
- Datasets 3.2.0 |
|
- Tokenizers 0.19.1 |
