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End of training

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README.md ADDED
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+ ---
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+ base_model: vlsp-2023-vllm/hoa-1b4
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+ library_name: peft
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+ license: bigscience-bloom-rail-1.0
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: Dora_500_last_question_wikiqa_seed_42
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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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+ # Dora_500_last_question_wikiqa_seed_42
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+
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+ This model is a fine-tuned version of [vlsp-2023-vllm/hoa-1b4](https://huggingface.co/vlsp-2023-vllm/hoa-1b4) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4851
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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-05
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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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+ - 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: 3.0
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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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+ | 0.7854 | 1.0 | 50 | 0.7485 |
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+ | 0.4968 | 2.0 | 100 | 0.5130 |
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+ | 0.4321 | 3.0 | 150 | 0.4851 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.13.0
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+ - Transformers 4.44.0
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+ - Pytorch 2.4.0
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+ - Datasets 2.21.0
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+ - Tokenizers 0.19.1
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+ {
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+ "alpha_pattern": {},
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+ "base_model_name_or_path": "vlsp-2023-vllm/hoa-1b4",
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+ "bias": "none",
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+ "fan_in_fan_out": false,
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+ "inference_mode": true,
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+ "init_lora_weights": true,
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+ "layer_replication": null,
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+ "layers_to_transform": null,
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+ "loftq_config": {},
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+ "lora_alpha": 8,
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+ "lora_dropout": 0.0,
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+ "megatron_config": null,
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+ "megatron_core": "megatron.core",
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+ "modules_to_save": null,
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+ "peft_type": "LORA",
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+ "r": 8,
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+ "rank_pattern": {},
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+ "revision": null,
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+ "target_modules": [
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+ "query_key_value",
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+ "dense_h_to_4h",
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+ "dense_4h_to_h",
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+ "dense"
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+ ],
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+ "task_type": "CAUSAL_LM",
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+ "use_dora": true,
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+ "use_rslora": false
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+ }
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