75 lines
2.1 KiB
Markdown
75 lines
2.1 KiB
Markdown
---
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library_name: transformers
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license: other
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base_model: inflatebot/MN-12B-Mag-Mell-R1
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tags:
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- llama-factory
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- full
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- generated_from_trainer
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model-index:
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- name: sft
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# sft
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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.
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It achieves the following results on the evaluation set:
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- Loss: 0.3763
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- Rewards/chosen: 0.6433
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- Logps/chosen: -219.3819
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- Logits/chosen: -923703389.9450
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- Rewards/rejected: -1.3013
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- Logps/rejected: -231.1543
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- Logits/rejected: -831308124.5957
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- Rewards/margins: 1.9446
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- Kl: 0.0
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-07
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 4
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 32
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- total_eval_batch_size: 4
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 1.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Logps/chosen | Logits/chosen | Rewards/rejected | Logps/rejected | Logits/rejected | Rewards/margins | |
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|:-------------:|:------:|:----:|:---------------:|:--------------:|:------------:|:---------------:|:----------------:|:--------------:|:---------------:|:---------------:|:---:|
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| 0.3079 | 0.8421 | 500 | 0.3781 | 0.8047 | -217.7675 | -922359676.4771 | -1.0247 | -228.3881 | -826945158.3546 | 1.8294 | 0.0 |
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### Framework versions
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- Transformers 4.55.0
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- Pytorch 2.5.1+cu124
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- Datasets 3.6.0
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- Tokenizers 0.21.1
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