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det-noun-lstm-1

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PyTorch
rnn
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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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+
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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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+ # det-noun-lstm-1
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+
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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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+
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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: 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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+
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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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+ | 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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+
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+
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+ ### Framework versions
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+
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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