Model save

README.md

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+---
+library_name: peft
+license: other
+base_model: SeaLLMs/SeaLLMs-v3-7B-Chat
+tags:
+- llama-factory
+- 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 an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1438
+
+## 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