|
--- |
|
license: llama3 |
|
base_model: tsavage68/Summary_L3_1000steps_1e7rate_SFT2 |
|
tags: |
|
- trl |
|
- dpo |
|
- generated_from_trainer |
|
model-index: |
|
- name: Summary_L3_300steps_1e7rate_01beta_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. --> |
|
|
|
# Summary_L3_300steps_1e7rate_01beta_CSFTDPO |
|
|
|
This model is a fine-tuned version of [tsavage68/Summary_L3_1000steps_1e7rate_SFT2](https://huggingface.co/tsavage68/Summary_L3_1000steps_1e7rate_SFT2) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.6344 |
|
- Rewards/chosen: 0.0119 |
|
- Rewards/rejected: -0.1548 |
|
- Rewards/accuracies: 0.1400 |
|
- Rewards/margins: 0.1666 |
|
- Logps/rejected: -16.8115 |
|
- Logps/chosen: -9.2641 |
|
- Logits/rejected: -1.0932 |
|
- Logits/chosen: -1.0948 |
|
|
|
## 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: 1 |
|
- eval_batch_size: 1 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 4 |
|
- 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: 300 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | |
|
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
|
| 0.6896 | 0.2004 | 50 | 0.6887 | 0.0011 | -0.0081 | 0.1300 | 0.0092 | -15.3448 | -9.3720 | -1.0951 | -1.0966 | |
|
| 0.6884 | 0.4008 | 100 | 0.6748 | 0.0029 | -0.0369 | 0.1400 | 0.0397 | -15.6323 | -9.3540 | -1.0944 | -1.0960 | |
|
| 0.6604 | 0.6012 | 150 | 0.6466 | 0.0088 | -0.1100 | 0.1400 | 0.1188 | -16.3635 | -9.2949 | -1.0927 | -1.0944 | |
|
| 0.6427 | 0.8016 | 200 | 0.6367 | 0.0112 | -0.1460 | 0.1400 | 0.1572 | -16.7239 | -9.2705 | -1.0934 | -1.0951 | |
|
| 0.6476 | 1.0020 | 250 | 0.6341 | 0.0133 | -0.1549 | 0.1400 | 0.1682 | -16.8126 | -9.2497 | -1.0935 | -1.0951 | |
|
| 0.6481 | 1.2024 | 300 | 0.6344 | 0.0119 | -0.1548 | 0.1400 | 0.1666 | -16.8115 | -9.2641 | -1.0932 | -1.0948 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.41.2 |
|
- Pytorch 2.0.0+cu117 |
|
- Datasets 2.20.0 |
|
- Tokenizers 0.19.1 |
|
|
