File size: 2,722 Bytes
89ccd33 a6f0bf6 89ccd33 a6f0bf6 89ccd33 a6f0bf6 89ccd33 a6f0bf6 0d8d7c6 4169ea3 89ccd33 96104a8 89ccd33 0d8d7c6 4169ea3 89ccd33 be0c02c 89ccd33 be0c02c |
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 |
---
license: mit
base_model: HuggingFaceH4/mistral-7b-sft-beta
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: zephyr-7b-dpo-full
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-7b-dpo-full
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggingface.co/HuggingFaceH4/mistral-7b-sft-beta) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5327
- Rewards/chosen: -1.3058
- Rewards/rejected: -2.0790
- Rewards/accuracies: 0.7695
- Rewards/margins: 0.7731
- Logps/rejected: -465.2492
- Logps/chosen: -387.6228
- Logits/rejected: -2.0418
- Logits/chosen: -2.0914
## 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: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 128
- total_eval_batch_size: 64
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.645 | 0.21 | 100 | 0.6138 | -0.3445 | -0.6635 | 0.7109 | 0.3190 | -323.7003 | -291.4871 | -2.5877 | -2.6051 |
| 0.6088 | 0.42 | 200 | 0.5601 | -1.2478 | -1.8506 | 0.7383 | 0.6028 | -442.4111 | -381.8215 | -2.2506 | -2.2970 |
| 0.5713 | 0.63 | 300 | 0.5404 | -1.1777 | -1.9907 | 0.7656 | 0.8130 | -456.4196 | -374.8101 | -2.1131 | -2.1610 |
| 0.585 | 0.84 | 400 | 0.5327 | -1.3058 | -2.0790 | 0.7695 | 0.7731 | -465.2492 | -387.6228 | -2.0418 | -2.0914 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1
|