|
|
--- |
|
|
library_name: peft |
|
|
license: other |
|
|
base_model: SeaLLMs/SeaLLMs-v3-7B-Chat |
|
|
tags: |
|
|
- llama-factory |
|
|
- lora |
|
|
- generated_from_trainer |
|
|
model-index: |
|
|
- name: SeaLLMs-v3-7B-Chat_sft_sg_values |
|
|
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. --> |
|
|
|
|
|
# SeaLLMs-v3-7B-Chat_sft_sg_values |
|
|
|
|
|
This model is a fine-tuned version of [SeaLLMs/SeaLLMs-v3-7B-Chat](https://huggingface.co/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 |
