File size: 2,607 Bytes
cbb7e44 6ac02f1 05aeb7f 42a32be 05aeb7f 6ac02f1 cbb7e44 6ac02f1 cbb7e44 6ac02f1 cbb7e44 6ac02f1 cbb7e44 42a32be cbb7e44 42a32be cbb7e44 |
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 |
---
library_name: transformers
license: apache-2.0
base_model: alignment-handbook/zephyr-7b-sft-full
tags:
- alignment-handbook
- trl
- dpo
- generated_from_trainer
- trl
- dpo
- alignment-handbook
- generated_from_trainer
datasets:
- HuggingFaceH4/ultrafeedback_binarized
model-index:
- name: zephyr-7b-align-scan-0.0-0.2-polynomial-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. -->
# zephyr-7b-align-scan-0.0-0.2-polynomial-3
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: 0.6601
- Rewards/chosen: -1.0432
- Rewards/rejected: -1.4686
- Rewards/accuracies: 0.3313
- Rewards/margins: 0.4254
- Logps/rejected: -89.9617
- Logps/chosen: -80.7659
- Logits/rejected: -2.4878
- Logits/chosen: -2.5051
## 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: 7.526744872300726e-07
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: polynomial
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Logits/chosen | Logits/rejected | Logps/chosen | Logps/rejected | Validation Loss | Rewards/accuracies | Rewards/chosen | Rewards/margins | Rewards/rejected |
|:-------------:|:------:|:----:|:-------------:|:---------------:|:------------:|:--------------:|:---------------:|:------------------:|:--------------:|:---------------:|:----------------:|
| 0.5502 | 1.0417 | 100 | -2.5290 | -2.5124 | -73.3173 | -81.0099 | 0.6403 | 0.3254 | 0.2781 | 0.2500 | 0.0281 |
| 0.377 | 2.0833 | 200 | -2.5251 | -2.5078 | -75.2992 | -83.7654 | 0.6467 | 0.3313 | -0.1914 | 0.4333 | -0.6247 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1
|