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README.md ADDED
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+ ---
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+ base_model: dmis-lab/selfbiorag_7b
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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: selfbiorag-7b-5e-6-wo-kqa_silver_wogold-iter-sft-step1_lr
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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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+ # selfbiorag-7b-5e-6-wo-kqa_silver_wogold-iter-sft-step1_lr
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+
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+ This model is a fine-tuned version of [dmis-lab/selfbiorag_7b](https://huggingface.co/dmis-lab/selfbiorag_7b) on the generator dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.2627
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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-06
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - num_devices: 4
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 64
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+ - total_eval_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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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.4116 | 0.84 | 4 | 1.4183 |
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+ | 1.3604 | 1.89 | 9 | 1.2683 |
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+ | 1.1532 | 2.53 | 12 | 1.2627 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.39.0.dev0
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+ - Pytorch 2.1.2
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+ - Datasets 2.14.6
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+ - Tokenizers 0.15.2
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+ {
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+ "train_steps_per_second": 0.056
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+ }
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+ {
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+ "_name_or_path": "dmis-lab/selfbiorag_7b",
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+ "architectures": [
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+ "LlamaForCausalLM"
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+ "transformers_version": "4.39.0.dev0",
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+ "vocab_size": 32016
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+ }
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