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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: det-noun-lstm-1 |
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results: [] |
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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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# det-noun-lstm-1 |
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This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.9717 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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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: 32 |
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- eval_batch_size: 32 |
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- seed: 1 |
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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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- training_steps: 3052726 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-------:|:---------------:| |
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| 4.8048 | 0.03 | 76320 | 4.7692 | |
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| 4.5159 | 1.03 | 152640 | 4.4852 | |
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| 4.3691 | 0.03 | 228960 | 4.3476 | |
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| 4.2797 | 1.03 | 305280 | 4.2637 | |
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| 4.2204 | 0.03 | 381600 | 4.2065 | |
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| 4.1733 | 1.03 | 457920 | 4.1648 | |
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| 4.1326 | 0.03 | 534240 | 4.1336 | |
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| 4.0967 | 1.03 | 610560 | 4.1082 | |
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| 4.0679 | 0.03 | 686880 | 4.0879 | |
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| 4.0421 | 1.03 | 763200 | 4.0721 | |
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| 4.0218 | 0.03 | 839520 | 4.0580 | |
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| 4.0062 | 1.03 | 915840 | 4.0475 | |
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| 3.9891 | 0.03 | 992160 | 4.0381 | |
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| 3.9682 | 0.03 | 1068480 | 4.0299 | |
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| 3.9583 | 1.03 | 1144800 | 4.0224 | |
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| 3.9536 | 0.03 | 1221120 | 4.0173 | |
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| 3.9398 | 1.03 | 1297440 | 4.0119 | |
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| 3.9296 | 0.03 | 1373760 | 4.0071 | |
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| 3.9182 | 1.03 | 1450080 | 4.0036 | |
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| 3.9138 | 0.03 | 1526400 | 4.0002 | |
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| 3.9124 | 1.03 | 1602720 | 3.9966 | |
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| 3.9072 | 0.03 | 1679040 | 3.9941 | |
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| 3.9015 | 1.03 | 1755360 | 3.9915 | |
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| 3.8912 | 0.03 | 1831680 | 3.9895 | |
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| 3.8851 | 1.03 | 1908000 | 3.9876 | |
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| 3.8767 | 0.03 | 1984320 | 3.9853 | |
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| 3.8708 | 0.03 | 2060640 | 3.9833 | |
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| 3.8676 | 1.03 | 2136960 | 3.9817 | |
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| 3.8631 | 0.03 | 2213280 | 3.9802 | |
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| 3.8513 | 1.03 | 2289600 | 3.9791 | |
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| 3.8494 | 0.03 | 2365920 | 3.9776 | |
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| 3.8548 | 1.03 | 2442240 | 3.9767 | |
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| 3.8471 | 0.03 | 2518560 | 3.9757 | |
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| 3.8443 | 0.03 | 2594880 | 3.9748 | |
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| 3.8389 | 1.03 | 2671200 | 3.9741 | |
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| 3.8405 | 0.03 | 2747520 | 3.9735 | |
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| 3.8435 | 1.03 | 2823840 | 3.9728 | |
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| 3.844 | 0.03 | 2900160 | 3.9724 | |
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| 3.8434 | 0.03 | 2976480 | 3.9719 | |
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| 3.8385 | 0.02 | 3052726 | 3.9717 | |
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### Framework versions |
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- Transformers 4.33.3 |
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- Pytorch 2.0.1 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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