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End of training

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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: martimfasantos/sft-xcomet_xl_xxl-chosen-10lp-shuff-full-tiny
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+ tags:
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+ - xcomet_xl_xxl
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+ - generated_from_trainer
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+ model-index:
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+ - name: dpo-xcomet_xl_xxl-10p-shuff-1e-7-full-from-sft-tiny
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+ results: []
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+ ---
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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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+
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+ # dpo-xcomet_xl_xxl-10p-shuff-1e-7-full-from-sft-tiny
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+
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+ This model is a fine-tuned version of [martimfasantos/sft-xcomet_xl_xxl-chosen-10lp-shuff-full-tiny](https://huggingface.co/martimfasantos/sft-xcomet_xl_xxl-chosen-10lp-shuff-full-tiny) on the Unbabel/TowerAligned-v0.1 dataset.
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 1e-07
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+ - train_batch_size: 1
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+ - eval_batch_size: 4
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+ - seed: 42
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+ - gradient_accumulation_steps: 16
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+ - total_train_batch_size: 16
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+ - optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 3
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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.2
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+ - Pytorch 2.1.2
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
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