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npi-sent-neg-lstm-0

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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-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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+ # npi-sent-neg-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: 3.9701
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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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+ | 4.7883 | 0.03 | 76320 | 4.7537 |
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+ | 4.5088 | 1.03 | 152640 | 4.4753 |
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+ | 4.3647 | 0.03 | 228960 | 4.3413 |
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+ | 4.2824 | 1.03 | 305280 | 4.2585 |
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+ | 4.2205 | 0.03 | 381600 | 4.2020 |
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+ | 4.174 | 1.03 | 457920 | 4.1605 |
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+ | 4.137 | 0.03 | 534240 | 4.1297 |
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+ | 4.1041 | 1.03 | 610560 | 4.1052 |
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+ | 4.0763 | 0.03 | 686880 | 4.0858 |
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+ | 4.0498 | 1.03 | 763200 | 4.0700 |
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+ | 4.0274 | 0.03 | 839520 | 4.0568 |
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+ | 4.0103 | 1.03 | 915840 | 4.0457 |
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+ | 3.9939 | 0.03 | 992160 | 4.0371 |
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+ | 3.9743 | 1.03 | 1068480 | 4.0290 |
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+ | 3.9629 | 0.03 | 1144800 | 4.0221 |
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+ | 3.9522 | 1.03 | 1221120 | 4.0161 |
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+ | 3.9413 | 0.03 | 1297440 | 4.0110 |
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+ | 3.9311 | 1.03 | 1373760 | 4.0061 |
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+ | 3.9173 | 0.03 | 1450080 | 4.0017 |
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+ | 3.9193 | 1.03 | 1526400 | 3.9984 |
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+ | 3.915 | 0.03 | 1602720 | 3.9950 |
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+ | 3.9106 | 0.03 | 1679040 | 3.9924 |
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+ | 3.9078 | 1.03 | 1755360 | 3.9899 |
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+ | 3.9025 | 0.03 | 1831680 | 3.9875 |
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+ | 3.8921 | 1.03 | 1908000 | 3.9853 |
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+ | 3.8835 | 0.03 | 1984320 | 3.9830 |
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+ | 3.8781 | 1.03 | 2060640 | 3.9807 |
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+ | 3.8727 | 0.03 | 2136960 | 3.9793 |
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+ | 3.8668 | 1.03 | 2213280 | 3.9784 |
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+ | 3.8576 | 0.03 | 2289600 | 3.9774 |
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+ | 3.8531 | 1.03 | 2365920 | 3.9759 |
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+ | 3.8521 | 0.03 | 2442240 | 3.9750 |
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+ | 3.849 | 1.03 | 2518560 | 3.9738 |
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+ | 3.8478 | 0.03 | 2594880 | 3.9727 |
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+ | 3.8397 | 1.03 | 2671200 | 3.9721 |
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+ | 3.8471 | 0.03 | 2747520 | 3.9714 |
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+ | 3.847 | 1.03 | 2823840 | 3.9709 |
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+ | 3.8492 | 0.03 | 2900160 | 3.9707 |
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+ | 3.851 | 1.03 | 2976480 | 3.9702 |
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+ | 3.8478 | 0.02 | 3052726 | 3.9701 |
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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