ddb093e650
Model: W-61/llama-3-8b-base-new-dpo-ultrafeedback-4xh200-batch-128-q_t-0.45-s_star-0.35-20260428-045924 Source: Original Platform
library_name, base_model, tags, datasets, model-index
| library_name | base_model | tags | datasets | model-index | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| transformers | W-61/llama-3-8b-base-sft-ultrachat-8xh200 |
|
|
|
llama-3-8b-base-new-dpo-ultrafeedback-4xh200-batch-128-q_t-0.45-s_star-0.35-20260428-045924
This model is a fine-tuned version of 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: 0.5985
- Fcm Dpo/beta: 0.0028
- Margin Dpo/margin Mean: 99.3391
- Margin Dpo/margin Std: 172.5638
- Logps/chosen: -539.1735
- Logps/rejected: -617.6157
- Logps/ref Chosen: -287.8268
- Logps/ref Rejected: -266.9300
- Kl/chosen Kl Mean: -251.3467
- Kl/rejected Kl Mean: -350.6858
- Kl/mean: -301.0162
- Kl/std: 151.9403
- Logits/chosen: -0.8488
- Logits/rejected: -0.8314
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: 4
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- total_eval_batch_size: 8
- 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 | Kl/chosen Kl Mean | Kl/rejected Kl Mean | Kl/mean | Kl/std | Logits/chosen | Logits/rejected |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 4.959 | 0.4188 | 200 | 0.5908 | 0.0053 | 56.5030 | 93.3615 | -400.3537 | -435.9599 | -287.8268 | -266.9300 | -112.5269 | -169.0299 | -140.7784 | 83.7769 | -0.8930 | -0.8754 |
| 4.8212 | 0.8377 | 400 | 0.5985 | 0.0028 | 99.3391 | 172.5638 | -539.1735 | -617.6157 | -287.8268 | -266.9300 | -251.3467 | -350.6858 | -301.0162 | 151.9403 | -0.8488 | -0.8314 |
Framework versions
- Transformers 4.51.0
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.21.4