Model save
Browse files
README.md
ADDED
|
@@ -0,0 +1,75 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
library_name: peft
|
| 4 |
+
tags:
|
| 5 |
+
- trl
|
| 6 |
+
- kto
|
| 7 |
+
- generated_from_trainer
|
| 8 |
+
base_model: mistralai/Mixtral-8x7B-Instruct-v0.1
|
| 9 |
+
model-index:
|
| 10 |
+
- name: WeniGPT-QA-Zephyr-7B-5.0.1-KTO
|
| 11 |
+
results: []
|
| 12 |
+
---
|
| 13 |
+
|
| 14 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 15 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 16 |
+
|
| 17 |
+
# WeniGPT-QA-Zephyr-7B-5.0.1-KTO
|
| 18 |
+
|
| 19 |
+
This model is a fine-tuned version of [mistralai/Mixtral-8x7B-Instruct-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1) on the None dataset.
|
| 20 |
+
It achieves the following results on the evaluation set:
|
| 21 |
+
- Loss: 0.0146
|
| 22 |
+
- Eval/rewards/chosen: 6.5462
|
| 23 |
+
- Eval/rewards/rejected: -30.7776
|
| 24 |
+
- Eval/kl: 0.2505
|
| 25 |
+
- Eval/logps/chosen: -129.4441
|
| 26 |
+
- Eval/logps/rejected: -508.0271
|
| 27 |
+
- Eval/rewards/margins: 37.3238
|
| 28 |
+
|
| 29 |
+
## Model description
|
| 30 |
+
|
| 31 |
+
More information needed
|
| 32 |
+
|
| 33 |
+
## Intended uses & limitations
|
| 34 |
+
|
| 35 |
+
More information needed
|
| 36 |
+
|
| 37 |
+
## Training and evaluation data
|
| 38 |
+
|
| 39 |
+
More information needed
|
| 40 |
+
|
| 41 |
+
## Training procedure
|
| 42 |
+
|
| 43 |
+
### Training hyperparameters
|
| 44 |
+
|
| 45 |
+
The following hyperparameters were used during training:
|
| 46 |
+
- learning_rate: 0.0002
|
| 47 |
+
- train_batch_size: 4
|
| 48 |
+
- eval_batch_size: 4
|
| 49 |
+
- seed: 42
|
| 50 |
+
- gradient_accumulation_steps: 8
|
| 51 |
+
- total_train_batch_size: 32
|
| 52 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 53 |
+
- lr_scheduler_type: linear
|
| 54 |
+
- lr_scheduler_warmup_ratio: 0.03
|
| 55 |
+
- training_steps: 262
|
| 56 |
+
- mixed_precision_training: Native AMP
|
| 57 |
+
|
| 58 |
+
### Training results
|
| 59 |
+
|
| 60 |
+
| Training Loss | Epoch | Step | Validation Loss | |
|
| 61 |
+
|:-------------:|:-----:|:----:|:---------------:|:-------:|
|
| 62 |
+
| 0.1177 | 0.38 | 50 | 0.0468 | 24.8637 |
|
| 63 |
+
| 0.0257 | 0.76 | 100 | 0.0236 | 30.5016 |
|
| 64 |
+
| 0.0141 | 1.14 | 150 | 0.0219 | 33.9185 |
|
| 65 |
+
| 0.0103 | 1.52 | 200 | 0.0146 | 37.3238 |
|
| 66 |
+
| 0.0084 | 1.9 | 250 | 0.0129 | 39.0837 |
|
| 67 |
+
|
| 68 |
+
|
| 69 |
+
### Framework versions
|
| 70 |
+
|
| 71 |
+
- PEFT 0.10.0
|
| 72 |
+
- Transformers 4.39.1
|
| 73 |
+
- Pytorch 2.1.0+cu118
|
| 74 |
+
- Datasets 2.18.0
|
| 75 |
+
- Tokenizers 0.15.1
|