File size: 2,250 Bytes
d4d3ea9 6ceb079 d4d3ea9 6ceb079 d4d3ea9 6ceb079 d4d3ea9 |
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 |
---
license: apache-2.0
library_name: peft
tags:
- alignment-handbook
- generated_from_trainer
- trl
- dpo
base_model: alignment-handbook/zephyr-7b-sft-full
datasets:
- updated
- original
model-index:
- name: nash_ave_pi_iter_3
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. -->
# nash_ave_pi_iter_3
This model is a fine-tuned version of [YYYYYYibo/nash_ave_pi_iter_2](https://huggingface.co/YYYYYYibo/nash_ave_pi_iter_2) on the updated and the original datasets.
It achieves the following results on the evaluation set:
- Loss: 0.6740
- Rewards/chosen: 0.0085
- Rewards/rejected: -0.0290
- Rewards/accuracies: 0.6360
- Rewards/margins: 0.0375
- Logps/rejected: -263.6366
- Logps/chosen: -286.1499
- Logits/rejected: -2.6278
- Logits/chosen: -2.7115
## 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: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- total_eval_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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6837 | 0.61 | 100 | 0.6740 | 0.0085 | -0.0290 | 0.6360 | 0.0375 | -263.6366 | -286.1499 | -2.6278 | -2.7115 |
### Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.3.0+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2 |