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SeaLLMs-v3-7B-Chat_sft_sg_values
Incomple/SeaLLMs-v3-7B-Chat_sft_sg_values
SeaLLMs-v3-7B-Chat_sft_sg_values is a machine learning model from Incomple. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as other.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- other
- Access
- Public
- Created
- Jul 9, 2025
- Updated
- Jul 9, 2025
- SHA
- c3820739
Base models
Model card
From the Hugging Face model README
<!-- 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. -->
SeaLLMs-v3-7B-Chat_sft_sg_values
This model is a fine-tuned version of SeaLLMs/SeaLLMs-v3-7B-Chat on the sft_sg_values dataset. It achieves the following results on the evaluation set:
- Loss: 0.1432
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-06
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_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: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.1013 | 0.1869 | 250 | 0.3121 |
| 0.1918 | 0.3738 | 500 | 0.1814 |
| 0.1654 | 0.5607 | 750 | 0.1589 |
| 0.1499 | 0.7477 | 1000 | 0.1476 |
| 0.1227 | 0.9346 | 1250 | 0.1438 |
Framework versions
- PEFT 0.15.2
- Transformers 4.51.1
- Pytorch 2.6.0+cu124
- Datasets 2.21.0
- Tokenizers 0.21.1
- Library
- peft
- License
- other
- Created
- Jul 9, 2025
- Updated
- Jul 9, 2025