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Model: Gueule-d-ange/aup-fullft-kto_mmd-mmdrho5.19e-3_kr0.1-seed6
Source: Original Platform

README.md

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+---
+library_name: transformers
+license: other
+base_model: EleutherAI/pythia-1.4b
+tags:
+- llama-factory
+- full
+- generated_from_trainer
+model-index:
+- name: fullft_kto_mmd_mmdrho5.19e-3_kr0.1_seed6
+  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. -->
+
+# fullft_kto_mmd_mmdrho5.19e-3_kr0.1_seed6
+
+This model is a fine-tuned version of [EleutherAI/pythia-1.4b](https://huggingface.co/EleutherAI/pythia-1.4b) on the uf_label_pool_kto 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: 1e-06
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 6
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 64
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 100
+- num_epochs: 3.0
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.57.1
+- Pytorch 2.12.1+cu130
+- Datasets 4.0.0
+- Tokenizers 0.22.2