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npi-sent-neg-lstm-2

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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: npi-sent-neg-lstm-2
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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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+ # npi-sent-neg-lstm-2
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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: 3.9733
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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: 2
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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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+ | 4.7973 | 0.03 | 76320 | 4.7626 |
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+ | 4.5158 | 1.03 | 152640 | 4.4833 |
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+ | 4.3697 | 0.03 | 228960 | 4.3466 |
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+ | 4.2855 | 1.03 | 305280 | 4.2630 |
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+ | 4.2225 | 0.03 | 381600 | 4.2052 |
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+ | 4.1772 | 1.03 | 457920 | 4.1643 |
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+ | 4.1392 | 0.03 | 534240 | 4.1331 |
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+ | 4.1075 | 1.03 | 610560 | 4.1085 |
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+ | 4.0788 | 0.03 | 686880 | 4.0892 |
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+ | 4.0539 | 1.03 | 763200 | 4.0733 |
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+ | 4.0313 | 0.03 | 839520 | 4.0602 |
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+ | 4.0136 | 1.03 | 915840 | 4.0497 |
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+ | 3.9962 | 0.03 | 992160 | 4.0401 |
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+ | 3.9763 | 1.03 | 1068480 | 4.0325 |
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+ | 3.9668 | 0.03 | 1144800 | 4.0259 |
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+ | 3.9549 | 1.03 | 1221120 | 4.0196 |
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+ | 3.9443 | 0.03 | 1297440 | 4.0140 |
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+ | 3.9349 | 1.03 | 1373760 | 4.0093 |
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+ | 3.924 | 0.03 | 1450080 | 4.0051 |
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+ | 3.9235 | 1.03 | 1526400 | 4.0013 |
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+ | 3.9181 | 0.03 | 1602720 | 3.9981 |
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+ | 3.9167 | 1.03 | 1679040 | 3.9956 |
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+ | 3.9108 | 0.03 | 1755360 | 3.9932 |
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+ | 3.906 | 1.03 | 1831680 | 3.9912 |
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+ | 3.8992 | 0.03 | 1908000 | 3.9892 |
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+ | 3.8911 | 1.03 | 1984320 | 3.9871 |
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+ | 3.8821 | 0.03 | 2060640 | 3.9856 |
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+ | 3.8791 | 1.03 | 2136960 | 3.9839 |
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+ | 3.872 | 0.03 | 2213280 | 3.9821 |
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+ | 3.8634 | 1.03 | 2289600 | 3.9804 |
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+ | 3.8596 | 0.03 | 2365920 | 3.9795 |
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+ | 3.859 | 1.03 | 2442240 | 3.9785 |
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+ | 3.8557 | 0.03 | 2518560 | 3.9776 |
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+ | 3.8529 | 0.03 | 2594880 | 3.9768 |
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+ | 3.8463 | 1.03 | 2671200 | 3.9759 |
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+ | 3.8517 | 0.03 | 2747520 | 3.9753 |
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+ | 3.8505 | 1.03 | 2823840 | 3.9748 |
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+ | 3.8552 | 0.03 | 2900160 | 3.9742 |
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+ | 3.854 | 1.03 | 2976480 | 3.9737 |
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+ | 3.8522 | 0.02 | 3052726 | 3.9733 |
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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