2fc13c995f
Model: jackf857/llama-3-8b-base-margin-dpo-hh-harmless-batch-size-64 Source: Original Platform
3.4 KiB
3.4 KiB
library_name, base_model, tags, datasets, model-index
| library_name | base_model | tags | datasets | model-index | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| transformers | W-61/llama-3-8b-base-sft-hh-harmless-4xh200 |
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llama-3-8b-base-margin-dpo-hh-harmless
This model is a fine-tuned version of 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: 0.5259
- Margin Dpo/margin Mean: 9.3649
- Margin Dpo/margin Std: 14.8097
- Logps/chosen: -92.0386
- Logps/rejected: -106.0930
- Logps/ref Chosen: -74.8595
- Logps/ref Rejected: -79.5490
- Logits/chosen: 0.3798
- Logits/rejected: 0.3285
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 | Margin Dpo/margin Mean | Margin Dpo/margin Std | Logps/chosen | Logps/rejected | Logps/ref Chosen | Logps/ref Rejected | Logits/chosen | Logits/rejected |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1.3342 | 0.1512 | 100 | 0.6557 | 1.4205 | 4.9786 | -79.7014 | -85.8115 | -74.8595 | -79.5490 | 0.2556 | 0.2183 |
| 0.9165 | 0.3023 | 200 | 0.5447 | 7.4721 | 12.5600 | -86.5507 | -98.7123 | -74.8595 | -79.5490 | 0.3345 | 0.2868 |
| 0.9692 | 0.4535 | 300 | 0.5345 | 9.3794 | 14.9738 | -93.1794 | -107.2484 | -74.8595 | -79.5490 | 0.4017 | 0.3507 |
| 1.084 | 0.6047 | 400 | 0.5337 | 8.8635 | 14.3566 | -91.2627 | -104.8157 | -74.8595 | -79.5490 | 0.3912 | 0.3394 |
| 1.0037 | 0.7559 | 500 | 0.5277 | 9.5078 | 15.0672 | -92.1725 | -106.3698 | -74.8595 | -79.5490 | 0.3937 | 0.3419 |
| 1.0459 | 0.9070 | 600 | 0.5259 | 9.3649 | 14.8097 | -92.0386 | -106.0930 | -74.8595 | -79.5490 | 0.3798 | 0.3285 |
Framework versions
- Transformers 4.51.0
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.21.4