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Model save

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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/tinyllama-1.1b-mt-sft-full
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+ tags:
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+ - trl
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+ - dpo
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+ - generated_from_trainer
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+ model-index:
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+ - name: tinyllama-1.1b-mt-simpo_beta2.0_gamma1.0_LR5e-8_BS16_rmsprop_3epochs
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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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+ # tinyllama-1.1b-mt-simpo_beta2.0_gamma1.0_LR5e-8_BS16_rmsprop_3epochs
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+
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+ This model is a fine-tuned version of [martimfasantos/tinyllama-1.1b-mt-sft-full](https://huggingface.co/martimfasantos/tinyllama-1.1b-mt-sft-full) on the None 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: 5e-08
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+ - train_batch_size: 8
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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: 16
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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: 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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+ {
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+ "epoch": 3.0,
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+ "train_samples": 22202,
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+ "train_samples_per_second": 10.608,
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+ "train_steps_per_second": 0.663
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+ }
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+ "transformers_version": "4.41.2"
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+ }
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trainer_state.json ADDED
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