File size: 3,051 Bytes
e291de3 95d3ec2 e291de3 95d3ec2 e291de3 95d3ec2 e291de3 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 |
---
license: apache-2.0
library_name: peft
tags:
- alignment-handbook
- generated_from_trainer
- trl
- dpo
- generated_from_trainer
datasets:
- sablo/HelpSteer_binarized
base_model: sablo/sablo-pebble-mistral
model-index:
- name: sablo-pebble-mistral-dpo-lora-HelpSteer_binarized
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. -->
# sablo-pebble-mistral-dpo-lora-HelpSteer_binarized
This model is a fine-tuned version of [sablo/sablo-pebble-mistral](https://huggingface.co/sablo/sablo-pebble-mistral) on the sablo/HelpSteer_binarized dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5212
- Rewards/chosen: -2.5398
- Rewards/rejected: -3.5311
- Rewards/accuracies: 0.7406
- Rewards/margins: 0.9913
- Logps/rejected: -214.9349
- Logps/chosen: -206.5847
- Logits/rejected: -2.0624
- Logits/chosen: -2.1620
## 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-06
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- 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 | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.652 | 0.2 | 200 | 0.6595 | 0.0498 | -0.0320 | 0.6415 | 0.0818 | -98.2975 | -120.2629 | -2.0236 | -2.1231 |
| 0.4905 | 0.39 | 400 | 0.5551 | -1.6581 | -2.1527 | 0.6958 | 0.4946 | -168.9884 | -177.1946 | -2.0950 | -2.1951 |
| 0.4249 | 0.59 | 600 | 0.5327 | -3.4554 | -4.3247 | 0.7241 | 0.8693 | -241.3867 | -237.1045 | -2.0782 | -2.1773 |
| 0.5858 | 0.79 | 800 | 0.5207 | -2.5072 | -3.4512 | 0.7335 | 0.9440 | -212.2718 | -205.4982 | -2.0586 | -2.1591 |
| 0.6128 | 0.98 | 1000 | 0.5212 | -2.5398 | -3.5311 | 0.7406 | 0.9913 | -214.9349 | -206.5847 | -2.0624 | -2.1620 |
### Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.6
- Tokenizers 0.15.0 |