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README.md ADDED
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+ ---
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+ library_name: peft
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+ license: mit
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+ base_model: FaceBookAI/roberta-base
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - f1
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+ model-index:
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+ - name: Lora_model2
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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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+ # Lora_model2
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+
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+ This model is a fine-tuned version of [FaceBookAI/roberta-base](https://huggingface.co/FaceBookAI/roberta-base) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.3046
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+ - F1: 0.8737
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+ - Acc: 0.8734
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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: 2e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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+ - seed: 42
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+ - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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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 | F1 | Acc |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
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+ | 0.5074 | 1.0 | 534 | 0.3279 | 0.8635 | 0.8565 |
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+ | 0.3222 | 2.0 | 1068 | 0.3106 | 0.8742 | 0.8771 |
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+ | 0.3153 | 3.0 | 1602 | 0.3046 | 0.8737 | 0.8734 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.14.0
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+ - Transformers 4.46.2
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+ - Pytorch 2.5.1
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+ - Datasets 3.1.0
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+ - Tokenizers 0.20.3
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+ {
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+ "alpha_pattern": {},
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+ "auto_mapping": null,
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+ "base_model_name_or_path": "FaceBookAI/roberta-base",
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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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+ "loftq_config": {},
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+ "megatron_core": "megatron.core",
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+ "modules_to_save": [
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+ "classifier",
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+ ],
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+ "peft_type": "LORA",
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+ "r": 16,
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+ "value",
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+ ],
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+ "task_type": "SEQ_CLS",
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+ "use_dora": false,
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+ "use_rslora": false
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+ }
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