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det-noun-lstm-0

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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-0
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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-0
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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: 3.9706
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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: 0
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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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+ | 4.7901 | 0.03 | 76320 | 4.7538 |
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+ | 4.5055 | 1.03 | 152640 | 4.4733 |
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+ | 4.3591 | 0.03 | 228960 | 4.3383 |
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+ | 4.2712 | 1.03 | 305280 | 4.2546 |
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+ | 4.2126 | 0.03 | 381600 | 4.1985 |
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+ | 4.1639 | 1.03 | 457920 | 4.1571 |
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+ | 4.127 | 0.03 | 534240 | 4.1268 |
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+ | 4.09 | 1.03 | 610560 | 4.1029 |
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+ | 4.0629 | 0.03 | 686880 | 4.0834 |
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+ | 4.0376 | 1.03 | 763200 | 4.0677 |
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+ | 4.0167 | 0.03 | 839520 | 4.0550 |
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+ | 4.0011 | 1.03 | 915840 | 4.0437 |
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+ | 3.9859 | 0.03 | 992160 | 4.0345 |
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+ | 3.9642 | 1.03 | 1068480 | 4.0272 |
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+ | 3.9542 | 0.03 | 1144800 | 4.0204 |
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+ | 3.9461 | 0.03 | 1221120 | 4.0153 |
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+ | 3.9338 | 1.03 | 1297440 | 4.0096 |
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+ | 3.9243 | 0.03 | 1373760 | 4.0050 |
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+ | 3.9116 | 1.03 | 1450080 | 4.0013 |
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+ | 3.9089 | 0.03 | 1526400 | 3.9975 |
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+ | 3.9068 | 1.03 | 1602720 | 3.9946 |
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+ | 3.9022 | 0.03 | 1679040 | 3.9918 |
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+ | 3.8977 | 1.03 | 1755360 | 3.9896 |
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+ | 3.8883 | 0.03 | 1831680 | 3.9876 |
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+ | 3.8819 | 1.03 | 1908000 | 3.9857 |
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+ | 3.8737 | 0.03 | 1984320 | 3.9839 |
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+ | 3.87 | 1.03 | 2060640 | 3.9820 |
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+ | 3.8653 | 0.03 | 2136960 | 3.9805 |
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+ | 3.8615 | 1.03 | 2213280 | 3.9792 |
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+ | 3.8482 | 0.03 | 2289600 | 3.9782 |
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+ | 3.8474 | 1.03 | 2365920 | 3.9769 |
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+ | 3.8489 | 0.03 | 2442240 | 3.9757 |
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+ | 3.8434 | 0.03 | 2518560 | 3.9748 |
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+ | 3.8389 | 1.03 | 2594880 | 3.9740 |
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+ | 3.8338 | 0.03 | 2671200 | 3.9732 |
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+ | 3.8353 | 0.03 | 2747520 | 3.9727 |
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+ | 3.8394 | 1.03 | 2823840 | 3.9717 |
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+ | 3.8389 | 0.03 | 2900160 | 3.9714 |
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+ | 3.8374 | 0.03 | 2976480 | 3.9710 |
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+ | 3.8341 | 1.02 | 3052726 | 3.9706 |
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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