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zelalt
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titletor-phi_1-5

TensorBoard
Safetensors
Generated from Trainer
title
extraction
title extraction
Model card Files Metrics Community
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End of training

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Files changed (11) hide show
  1. README.md +88 -0
  2. adapter_config.json +23 -0
  3. adapter_model.safetensors +3 -0
  4. added_tokens.json +40 -0
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  8. tokenizer.json +0 -0
  9. tokenizer_config.json +324 -0
  10. training_args.bin +3 -0
  11. vocab.json +0 -0
README.md ADDED
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+ ---
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+ license: other
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+ base_model: microsoft/phi-1_5
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: Phi-1_5_Title-Extract-8.7lr2e4
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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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+ # Phi-1_5_Title-Extract-8.7lr2e4
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+
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+ This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.1587
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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: 0.0002
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+ - train_batch_size: 4
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 8
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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_steps: 200
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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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+ | 3.4023 | 0.1 | 40 | 2.9074 |
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+ | 2.7878 | 0.2 | 80 | 2.7608 |
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+ | 2.7083 | 0.3 | 120 | 2.6496 |
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+ | 2.6213 | 0.41 | 160 | 2.5309 |
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+ | 2.5145 | 0.51 | 200 | 2.4658 |
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+ | 2.4395 | 0.61 | 240 | 2.4294 |
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+ | 2.4016 | 0.71 | 280 | 2.3857 |
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+ | 2.4194 | 0.81 | 320 | 2.3635 |
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+ | 2.3467 | 0.91 | 360 | 2.3278 |
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+ | 2.2736 | 1.02 | 400 | 2.2854 |
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+ | 2.1737 | 1.12 | 440 | 2.2824 |
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+ | 2.1805 | 1.22 | 480 | 2.2722 |
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+ | 2.1472 | 1.32 | 520 | 2.2521 |
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+ | 2.1654 | 1.42 | 560 | 2.2372 |
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+ | 2.1281 | 1.52 | 600 | 2.2304 |
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+ | 2.0958 | 1.62 | 640 | 2.2136 |
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+ | 2.1422 | 1.73 | 680 | 2.1955 |
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+ | 2.07 | 1.83 | 720 | 2.1919 |
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+ | 2.0684 | 1.93 | 760 | 2.1829 |
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+ | 2.0392 | 2.03 | 800 | 2.1726 |
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+ | 1.868 | 2.13 | 840 | 2.1760 |
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+ | 1.8342 | 2.23 | 880 | 2.1696 |
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+ | 1.8225 | 2.34 | 920 | 2.1684 |
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+ | 1.8678 | 2.44 | 960 | 2.1671 |
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+ | 1.8543 | 2.54 | 1000 | 2.1618 |
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+ | 1.8666 | 2.64 | 1040 | 2.1607 |
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+ | 1.8597 | 2.74 | 1080 | 2.1600 |
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+ | 1.8605 | 2.84 | 1120 | 2.1591 |
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+ | 1.8515 | 2.94 | 1160 | 2.1587 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.2
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+ - Pytorch 2.1.0+cu118
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+ - Datasets 2.15.0
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+ - Tokenizers 0.15.0
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