seallm-v3-4bit-qlora
This model is a fine-tuned version of SeaLLMs/SeaLLMs-v3-7B-Chat on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3075
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: 0.0003
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.4404 | 0.2036 | 50 | 1.4168 |
| 1.3317 | 0.4072 | 100 | 1.3570 |
| 1.3188 | 0.6108 | 150 | 1.3248 |
| 1.3048 | 0.8144 | 200 | 1.3075 |
Framework versions
- PEFT 0.13.0
- Transformers 4.45.1
- Pytorch 2.4.1
- Datasets 2.19.1
- Tokenizers 0.20.0
- Downloads last month
- 11
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API:
The model has no pipeline_tag.
Model tree for binh230/seallm-v3-4bit-qlora
Base model
SeaLLMs/SeaLLMs-v3-7B-Chat