File size: 2,341 Bytes
ea4f274 |
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 |
---
library_name: transformers
license: apache-2.0
base_model: tsavage68/Na_M2_1000steps_1e7_SFT
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: Na_M2_100steps_1e7rate_03beta_cSFTDPO
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. -->
# Na_M2_100steps_1e7rate_03beta_cSFTDPO
This model is a fine-tuned version of [tsavage68/Na_M2_1000steps_1e7_SFT](https://huggingface.co/tsavage68/Na_M2_1000steps_1e7_SFT) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000
- Rewards/chosen: 2.8383
- Rewards/rejected: -9.2541
- Rewards/accuracies: 1.0
- Rewards/margins: 12.0924
- Logps/rejected: -110.7703
- Logps/chosen: -38.6713
- Logits/rejected: -2.5103
- Logits/chosen: -2.5250
## 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-07
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 100
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.0004 | 0.2667 | 50 | 0.0000 | 2.3360 | -8.0685 | 1.0 | 10.4045 | -106.8185 | -40.3458 | -2.5169 | -2.5309 |
| 0.0 | 0.5333 | 100 | 0.0000 | 2.8383 | -9.2541 | 1.0 | 12.0924 | -110.7703 | -38.6713 | -2.5103 | -2.5250 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
|