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README.md ADDED
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+ ---
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+ library_name: peft
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+ tags:
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+ - alignment-handbook
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+ - generated_from_trainer
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+ base_model: RiTA-nlp/llama3-tweety-8b-italian
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+ datasets:
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+ - giux78/100k-sft-ready-ultrafeedback-ita
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+ model-index:
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+ - name: llama3-tweety-8b-italian-sft-uf_ita
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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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+ # llama3-tweety-8b-italian-sft-uf_ita
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+
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+ This model is a fine-tuned version of [RiTA-nlp/llama3-tweety-8b-italian](https://huggingface.co/RiTA-nlp/llama3-tweety-8b-italian) on the giux78/100k-sft-ready-ultrafeedback-ita dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.4126
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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: 0.0002
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+ - train_batch_size: 4
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 8
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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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
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:------:|:----:|:---------------:|
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+ | 1.4435 | 0.9999 | 9050 | 1.4126 |
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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 4.40.2
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+ - Pytorch 2.1.2+cu121
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
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