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End of training

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README.md ADDED
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+ ---
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+ base_model: jingyeom/solar_merge_dpo
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+ tags:
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+ - trl
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+ - sft
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+ - generated_from_trainer
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+ datasets:
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+ - generator
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+ model-index:
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+ - name: table_to_text_train_solar-merge-dpo
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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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+ # table_to_text_train_solar-merge-dpo
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+
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+ This model is a fine-tuned version of [jingyeom/solar_merge_dpo](https://huggingface.co/jingyeom/solar_merge_dpo) on the generator 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-06
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+ - train_batch_size: 1
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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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+ - num_devices: 8
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 32
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+ - total_eval_batch_size: 64
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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: 0.03
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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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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.36.2
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+ - Pytorch 2.2.0+cu118
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+ - Datasets 2.20.0
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+ - Tokenizers 0.15.2
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+ "architectures": [
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+ "attention_dropout": 0.0,
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+ "eos_token_id": 2,
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+ "initializer_range": 0.02,
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+ "pad_token_id": 2,
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+ "pretraining_tp": 1,
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+ "rms_norm_eps": 1e-05,
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+ "rope_scaling": null,
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+ "rope_theta": 10000.0,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.36.2",
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+ "use_cache": true,
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+ "vocab_size": 32000
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+ }
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