File size: 3,866 Bytes
b81bcb3 88668c3 b81bcb3 88668c3 b81bcb3 88668c3 b81bcb3 88668c3 d2e491f 1cf4035 b81bcb3 1cf4035 b81bcb3 |
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 86 87 88 |
---
license: apache-2.0
base_model: alignment-handbook/zephyr-7b-sft-full
tags:
- alignment-handbook
- trl
- dpo
- generated_from_trainer
- trl
- dpo
- generated_from_trainer
datasets:
- HuggingFaceH4/ultrafeedback_binarized
model-index:
- name: zephyr-7b-dpo-full-ultrabin-amazon
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-ultrabin-amazon
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 HuggingFaceH4/ultrafeedback_binarized dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6914
- Rewards/chosen: 0.0
- Rewards/rejected: 0.0
- Rewards/accuracies: 0.0
- Rewards/margins: 0.0
- Logps/rejected: -2352.0
- Logps/chosen: -2624.0
- Logits/rejected: -1.5781
- Logits/chosen: -1.5781
## 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: 55
- 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6914 | 0.1050 | 50 | 0.6914 | 0.0 | 0.0 | 0.0 | 0.0 | -3024.0 | -3440.0 | -2.4844 | -2.5 |
| 0.6914 | 0.2101 | 100 | 0.6914 | 0.0 | 0.0 | 0.0 | 0.0 | -2544.0 | -2880.0 | -2.0312 | -2.0469 |
| 0.6914 | 0.3151 | 150 | 0.6914 | 0.0 | 0.0 | 0.0 | 0.0 | -2432.0 | -2736.0 | -1.5938 | -1.5859 |
| 0.6914 | 0.4202 | 200 | 0.6914 | 0.0 | 0.0 | 0.0 | 0.0 | -2384.0 | -2688.0 | -1.6875 | -1.6875 |
| 0.6914 | 0.5252 | 250 | 0.6914 | 0.0 | 0.0 | 0.0 | 0.0 | -2352.0 | -2640.0 | -1.7031 | -1.7031 |
| 0.6914 | 0.6303 | 300 | 0.6914 | 0.0 | 0.0 | 0.0 | 0.0 | -2336.0 | -2624.0 | -1.6797 | -1.6719 |
| 0.6914 | 0.7353 | 350 | 0.6914 | 0.0 | 0.0 | 0.0 | 0.0 | -2352.0 | -2640.0 | -1.6016 | -1.6016 |
| 0.6914 | 0.8403 | 400 | 0.6914 | 0.0 | 0.0 | 0.0 | 0.0 | -2368.0 | -2640.0 | -1.5781 | -1.5781 |
| 0.6914 | 0.9454 | 450 | 0.6914 | 0.0 | 0.0 | 0.0 | 0.0 | -2352.0 | -2624.0 | -1.5781 | -1.5781 |
### Framework versions
- Transformers 4.44.0.dev0
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1
|