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fine-tune-QNLI-10k

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  1. README.md +73 -0
  2. adapter_config.json +31 -0
  3. adapter_model.safetensors +3 -0
  4. config.json +32 -0
  5. model.safetensors +3 -0
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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ library_name: peft
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+ tags:
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+ - QNLI
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+ - generated_from_trainer
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+ base_model: google-bert/bert-base-uncased
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: check
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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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+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/thaisonatk/Fine-tune/runs/sibqe48b)
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+ # check
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+
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+ This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.3991
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+ - Accuracy: 0.8258
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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: 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: 10
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.6863 | 1.0 | 613 | 0.6746 | 0.6165 |
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+ | 0.5276 | 2.0 | 1226 | 0.4910 | 0.7723 |
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+ | 0.4828 | 3.0 | 1839 | 0.4693 | 0.7847 |
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+ | 0.4682 | 4.0 | 2452 | 0.4413 | 0.8038 |
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+ | 0.4692 | 5.0 | 3065 | 0.4330 | 0.8071 |
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+ | 0.4387 | 6.0 | 3678 | 0.4344 | 0.8055 |
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+ | 0.428 | 7.0 | 4291 | 0.4109 | 0.8191 |
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+ | 0.4266 | 8.0 | 4904 | 0.4069 | 0.8208 |
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+ | 0.4191 | 9.0 | 5517 | 0.4031 | 0.8233 |
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+ | 0.434 | 10.0 | 6130 | 0.3991 | 0.8258 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.10.0
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+ - Transformers 4.41.0.dev0
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+ - Pytorch 2.3.1+cu121
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+ - Datasets 2.19.0
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+ - Tokenizers 0.19.1
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+ "bias": "none",
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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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+ "megatron_core": "megatron.core",
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+ "target_modules": [
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+ "query",
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+ "key",
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+ "dense"
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+ ],
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+ "task_type": "SEQ_CLS",
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+ "use_dora": false,
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+ }
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