初始化项目，由ModelHub XC社区提供模型

Model: phanviethoang1512/llama3.2-1b-deita-dpo-student_sft_init
Source: Original Platform

README.md

@@ -0,0 +1,69 @@
+---
+library_name: transformers
+license: llama3.2
+base_model: meta-llama/Llama-3.2-1B
+tags:
+- alignment-handbook
+- generated_from_trainer
+datasets:
+- HuggingFaceH4/deita-10k-v0-sft
+model-index:
+- name: student_sft_init
+  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. -->
+
+# student_sft_init
+
+This model is a fine-tuned version of [meta-llama/Llama-3.2-1B](https://huggingface.co/meta-llama/Llama-3.2-1B) on the HuggingFaceH4/deita-10k-v0-sft dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1767
+
+## 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: 2e-05
+- train_batch_size: 4
+- eval_batch_size: 1
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 64
+- total_eval_batch_size: 4
+- 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: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.1293        | 1.0   | 571  | 1.1598          |
+| 0.9276        | 2.0   | 1142 | 1.1511          |
+| 0.8279        | 3.0   | 1713 | 1.1767          |
+
+
+### Framework versions
+
+- Transformers 4.52.4
+- Pytorch 2.10.0+cu126
+- Datasets 4.8.4
+- Tokenizers 0.21.4