e7a907fbc6
Model: jackf857/llama-3-8b-base-new-dpo-harmless-s_star0.6-q_t0.4 Source: Original Platform
79 lines
2.9 KiB
Markdown
79 lines
2.9 KiB
Markdown
---
|
|
library_name: transformers
|
|
base_model: W-61/llama-3-8b-base-sft-hh-harmless-4xh200
|
|
tags:
|
|
- alignment-handbook
|
|
- new-dpo
|
|
- generated_from_trainer
|
|
datasets:
|
|
- Anthropic/hh-rlhf
|
|
model-index:
|
|
- name: llama3-8b-base-new-method-s_star0.6
|
|
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. -->
|
|
|
|
# llama3-8b-base-new-method-s_star0.6
|
|
|
|
This model is a fine-tuned version of [W-61/llama-3-8b-base-sft-hh-harmless-4xh200](https://huggingface.co/W-61/llama-3-8b-base-sft-hh-harmless-4xh200) on the Anthropic/hh-rlhf dataset.
|
|
It achieves the following results on the evaluation set:
|
|
- Loss: 0.5591
|
|
- Fcm Dpo/beta: 0.0089
|
|
- Margin Dpo/margin Mean: 55.2826
|
|
- Margin Dpo/margin Std: 95.3567
|
|
- Logps/chosen: -205.2188
|
|
- Logps/rejected: -265.1909
|
|
- Logps/ref Chosen: -74.8595
|
|
- Logps/ref Rejected: -79.5490
|
|
- Logits/chosen: 0.7206
|
|
- Logits/rejected: 0.6751
|
|
|
|
## 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: 4
|
|
- gradient_accumulation_steps: 2
|
|
- total_train_batch_size: 64
|
|
- total_eval_batch_size: 32
|
|
- 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 | Fcm Dpo/beta | Margin Dpo/margin Mean | Margin Dpo/margin Std | Logps/chosen | Logps/rejected | Logps/ref Chosen | Logps/ref Rejected | Logits/chosen | Logits/rejected |
|
|
|:-------------:|:------:|:----:|:---------------:|:------------:|:----------------------:|:---------------------:|:------------:|:--------------:|:----------------:|:------------------:|:-------------:|:---------------:|
|
|
| 1.0505 | 0.3023 | 200 | 0.5490 | 0.0445 | 12.8367 | 21.5327 | -94.9354 | -112.4616 | -74.8595 | -79.5490 | 0.4353 | 0.3850 |
|
|
| 1.0738 | 0.6047 | 400 | 0.5614 | 0.0103 | 44.9123 | 77.2791 | -176.5743 | -226.1761 | -74.8595 | -79.5490 | 0.6246 | 0.5775 |
|
|
| 1.1653 | 0.9070 | 600 | 0.5591 | 0.0089 | 55.2826 | 95.3567 | -205.2188 | -265.1909 | -74.8595 | -79.5490 | 0.7206 | 0.6751 |
|
|
|
|
|
|
### Framework versions
|
|
|
|
- Transformers 4.51.0
|
|
- Pytorch 2.3.1+cu121
|
|
- Datasets 2.21.0
|
|
- Tokenizers 0.21.4
|