77 lines
2.7 KiB
Markdown
77 lines
2.7 KiB
Markdown
|
---
|
||
|
|
library_name: transformers
|
||
|
|
base_model: W-61/llama-3-8b-base-sft-ultrachat-8xh200
|
||
|
|
tags:
|
||
|
|
- alignment-handbook
|
||
|
|
- margin-dpo
|
||
|
|
- generated_from_trainer
|
||
|
|
datasets:
|
||
|
|
- HuggingFaceH4/ultrafeedback_binarized
|
||
|
|
model-index:
|
||
|
|
- name: llama-3-8b-base-margin-dpo-ultrafeedback-8xh200-20260410-155037
|
||
|
|
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. -->
|
||
|
|
|
||
|
|
# llama-3-8b-base-margin-dpo-ultrafeedback-8xh200-20260410-155037
|
||
|
|
|
||
|
|
This model is a fine-tuned version of [W-61/llama-3-8b-base-sft-ultrachat-8xh200](https://huggingface.co/W-61/llama-3-8b-base-sft-ultrachat-8xh200) on the HuggingFaceH4/ultrafeedback_binarized dataset.
|
||
|
|
It achieves the following results on the evaluation set:
|
||
|
|
- Loss: 0.5358
|
||
|
|
- Margin Dpo/margin Mean: 72.1584
|
||
|
|
- Margin Dpo/margin Std: 96.1592
|
||
|
|
- Logps/chosen: -403.2485
|
||
|
|
- Logps/rejected: -474.8625
|
||
|
|
- Logps/ref Chosen: -280.7076
|
||
|
|
- Logps/ref Rejected: -280.1632
|
||
|
|
- Logits/chosen: -0.8223
|
||
|
|
- Logits/rejected: -0.8121
|
||
|
|
|
||
|
|
## 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: 5e-07
|
||
|
|
- train_batch_size: 8
|
||
|
|
- eval_batch_size: 8
|
||
|
|
- seed: 42
|
||
|
|
- distributed_type: multi-GPU
|
||
|
|
- num_devices: 8
|
||
|
|
- gradient_accumulation_steps: 2
|
||
|
|
- total_train_batch_size: 128
|
||
|
|
- total_eval_batch_size: 64
|
||
|
|
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
|
||
|
|
- lr_scheduler_type: cosine
|
||
|
|
- lr_scheduler_warmup_ratio: 0.1
|
||
|
|
- num_epochs: 1
|
||
|
|
|
||
|
|
### Training results
|
||
|
|
|
||
|
|
| Training Loss | Epoch | Step | Validation Loss | Margin Dpo/margin Mean | Margin Dpo/margin Std | Logps/chosen | Logps/rejected | Logps/ref Chosen | Logps/ref Rejected | Logits/chosen | Logits/rejected |
|
||
|
|
|:-------------:|:------:|:----:|:---------------:|:----------------------:|:---------------------:|:------------:|:--------------:|:----------------:|:------------------:|:-------------:|:---------------:|
|
||
|
|
| 1.0912 | 0.4188 | 200 | 0.5626 | 60.1408 | 83.6690 | -374.4195 | -434.0159 | -280.7076 | -280.1632 | -0.8522 | -0.8391 |
|
||
|
|
| 1.1088 | 0.8377 | 400 | 0.5358 | 72.1584 | 96.1592 | -403.2485 | -474.8625 | -280.7076 | -280.1632 | -0.8223 | -0.8121 |
|
||
|
|
|
||
|
|
|
||
|
|
### Framework versions
|
||
|
|
|
||
|
|
- Transformers 4.51.0
|
||
|
|
- Pytorch 2.3.1+cu121
|
||
|
|
- Datasets 2.21.0
|
||
|
|
- Tokenizers 0.21.4
|