File size: 3,707 Bytes
2211af5 ce1f2a6 2211af5 ce1f2a6 2211af5 |
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: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: ahmedabdelwahed/Mojiz-sft
model-index:
- name: test
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. -->
# test
This model is a fine-tuned version of [ahmedabdelwahed/Mojiz-sft](https://huggingface.co/ahmedabdelwahed/Mojiz-sft) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1612
- Rewards/chosen: 1.5401
- Rewards/rejected: -0.4134
- Rewards/accuracies: 1.0
- Rewards/margins: 1.9534
- Logps/rejected: -71.8662
- Logps/chosen: -323.2329
- Logits/rejected: -11.6886
- Logits/chosen: -12.9104
## 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: 1e-06
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 150
- training_steps: 1000
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 1.3422 | 0.41 | 100 | 0.6447 | 0.0816 | -0.0178 | 1.0 | 0.0994 | -71.0751 | -326.1499 | -11.7285 | -12.9749 |
| 1.9054 | 0.82 | 200 | 0.5151 | 0.3250 | -0.0755 | 1.0 | 0.4005 | -71.1904 | -325.6630 | -11.7221 | -12.9647 |
| 1.7913 | 1.22 | 300 | 0.4000 | 0.5897 | -0.1444 | 1.0 | 0.7341 | -71.3283 | -325.1337 | -11.7152 | -12.9536 |
| 1.6915 | 1.63 | 400 | 0.3189 | 0.8238 | -0.2053 | 1.0 | 1.0290 | -71.4500 | -324.6655 | -11.7087 | -12.9431 |
| 1.4041 | 2.04 | 500 | 0.2596 | 1.0374 | -0.2638 | 1.0 | 1.3012 | -71.5670 | -324.2383 | -11.7029 | -12.9335 |
| 1.1989 | 2.45 | 600 | 0.2187 | 1.2160 | -0.3160 | 1.0 | 1.5320 | -71.6715 | -323.8811 | -11.6980 | -12.9256 |
| 1.2192 | 2.86 | 700 | 0.1915 | 1.3556 | -0.3570 | 1.0 | 1.7126 | -71.7533 | -323.6018 | -11.6939 | -12.9188 |
| 1.1718 | 3.27 | 800 | 0.1738 | 1.4588 | -0.3884 | 1.0 | 1.8472 | -71.8162 | -323.3954 | -11.6909 | -12.9141 |
| 0.9623 | 3.67 | 900 | 0.1643 | 1.5190 | -0.4068 | 1.0 | 1.9258 | -71.8531 | -323.2751 | -11.6892 | -12.9113 |
| 1.0207 | 4.08 | 1000 | 0.1612 | 1.5401 | -0.4134 | 1.0 | 1.9534 | -71.8662 | -323.2329 | -11.6886 | -12.9104 |
### Framework versions
- PEFT 0.7.1
- Transformers 4.36.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.15.0 |