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Model: lldois/v43_v29_paper_mix_low_lr25e7_ep15
Source: Original Platform

README.md

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+---
+library_name: transformers
+license: other
+base_model: lldois/v29_v19_user_world_guard_lr8e7_ep018
+tags:
+- llama-factory
+- full
+- generated_from_trainer
+model-index:
+- name: v43_v29_paper_mix_low_lr25e7_ep15
+  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. -->
+
+# v43_v29_paper_mix_low_lr25e7_ep15
+
+This model is a fine-tuned version of [lldois/v29_v19_user_world_guard_lr8e7_ep018](https://huggingface.co/lldois/v29_v19_user_world_guard_lr8e7_ep018) on the exp_v43_paper_mix_low dataset.
+
+## 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: 2.5e-07
+- train_batch_size: 1
+- eval_batch_size: 8
+- seed: 202607193
+- gradient_accumulation_steps: 4
+- total_train_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_steps: 0.03
+- num_epochs: 1.5
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 5.6.0
+- Pytorch 2.7.1+cu126
+- Datasets 4.0.0
+- Tokenizers 0.22.2