File size: 3,283 Bytes
8bb065b 7d4bf69 8bb065b 7d4bf69 8bb065b 7d4bf69 8bb065b 7d4bf69 8bb065b 7d4bf69 8bb065b |
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 82 83 84 85 |
---
base_model: alignment-handbook/zephyr-7b-sft-full
datasets:
- generation/GPT4
library_name: peft
license: apache-2.0
tags:
- alignment-handbook
- trl
- dpo
- generated_from_trainer
model-index:
- name: zephyr-dpop-qlora-gpt4-5e-7
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. -->
# zephyr-dpop-qlora-gpt4-5e-7
This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on the generation/GPT4 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7751
- Positive Losses: 0.8596
- Dpo Losses: 0.6847
- Rewards/chosen: 0.0247
- Rewards/rejected: 0.0066
- Rewards/accuracies: 0.5900
- Rewards/margins: 0.0182
- Rewards/margins Max: 0.1239
- Rewards/margins Min: -0.0706
- Rewards/margins Std: 0.0644
- Logps/rejected: -257.9209
- Logps/chosen: -282.1187
- Logits/rejected: -2.7289
- Logits/chosen: -2.7668
## 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: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- total_eval_batch_size: 16
- 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 | Positive Losses | Dpo Losses | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Rewards/margins Max | Rewards/margins Min | Rewards/margins Std | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:---------------:|:----------:|:--------------:|:----------------:|:------------------:|:---------------:|:-------------------:|:-------------------:|:-------------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6709 | 0.28 | 100 | 0.7044 | 0.1334 | 0.6900 | 0.0150 | 0.0085 | 0.5830 | 0.0065 | 0.0434 | -0.0241 | 0.0224 | -257.7293 | -283.0980 | -2.7607 | -2.7991 |
| 0.6375 | 0.56 | 200 | 0.7539 | 0.6398 | 0.6862 | 0.0226 | 0.0079 | 0.5880 | 0.0147 | 0.1022 | -0.0596 | 0.0535 | -257.7878 | -282.3363 | -2.7335 | -2.7718 |
| 0.6203 | 0.85 | 300 | 0.7727 | 0.8307 | 0.6847 | 0.0252 | 0.0072 | 0.5920 | 0.0180 | 0.1227 | -0.0701 | 0.0638 | -257.8545 | -282.0691 | -2.7315 | -2.7691 |
### Framework versions
- PEFT 0.7.1
- Transformers 4.39.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2 |