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Model: taozi555/MN-12B-Mag-Mell-R1-KTO
Source: Original Platform

README.md

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+---
+library_name: transformers
+license: other
+base_model: inflatebot/MN-12B-Mag-Mell-R1
+tags:
+- llama-factory
+- full
+- generated_from_trainer
+model-index:
+- name: sft
+  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. -->
+
+# sft
+
+This model is a fine-tuned version of [inflatebot/MN-12B-Mag-Mell-R1](https://huggingface.co/inflatebot/MN-12B-Mag-Mell-R1) on the kto_rp dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3763
+- Rewards/chosen: 0.6433
+- Logps/chosen: -219.3819
+- Logits/chosen: -923703389.9450
+- Rewards/rejected: -1.3013
+- Logps/rejected: -231.1543
+- Logits/rejected: -831308124.5957
+- Rewards/margins: 1.9446
+- Kl: 0.0
+
+## 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: 5e-07
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 32
+- 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: 1.0
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Logps/chosen | Logits/chosen   | Rewards/rejected | Logps/rejected | Logits/rejected | Rewards/margins |     |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:------------:|:---------------:|:----------------:|:--------------:|:---------------:|:---------------:|:---:|
+| 0.3079        | 0.8421 | 500  | 0.3781          | 0.8047         | -217.7675    | -922359676.4771 | -1.0247          | -228.3881      | -826945158.3546 | 1.8294          | 0.0 |
+
+
+### Framework versions
+
+- Transformers 4.55.0
+- Pytorch 2.5.1+cu124
+- Datasets 3.6.0
+- Tokenizers 0.21.1