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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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+ library_name: peft
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+ tags:
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+ - generated_from_trainer
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+ base_model: t5-small
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+ model-index:
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+ - name: ft-t5-small-on-opus100
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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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+ # ft-t5-small-on-opus100
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+
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+ This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the opus100 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: 0.001
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+ - train_batch_size: 32
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+ - eval_batch_size: 32
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 2
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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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+ - PEFT 0.7.1
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+ - Transformers 4.36.2
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+ - Pytorch 2.0.0
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+ - Datasets 2.15.0
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+ - Tokenizers 0.15.0
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+ {
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+ "lora_dropout": 0.01,
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+ "megatron_core": "megatron.core",
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+ "peft_type": "LORA",
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+ "r": 4,
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+ "rank_pattern": {},
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+ "target_modules": [
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+ "k",
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+ "q",
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+ "v",
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+ "o"
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+ ],
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+ "task_type": "SEQ_2_SEQ_LM"
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+ }
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