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npi-sent-neg-lstm-4

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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-4
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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-4
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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: 3.9712
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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: 4
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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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+ | 4.7935 | 0.03 | 76320 | 4.7599 |
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+ | 4.5123 | 1.03 | 152640 | 4.4801 |
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+ | 4.3681 | 0.03 | 228960 | 4.3453 |
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+ | 4.2854 | 1.03 | 305280 | 4.2617 |
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+ | 4.2246 | 0.03 | 381600 | 4.2046 |
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+ | 4.1788 | 1.03 | 457920 | 4.1634 |
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+ | 4.141 | 0.03 | 534240 | 4.1317 |
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+ | 4.1095 | 1.03 | 610560 | 4.1079 |
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+ | 4.0812 | 0.03 | 686880 | 4.0879 |
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+ | 4.0542 | 1.03 | 763200 | 4.0726 |
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+ | 4.0325 | 0.03 | 839520 | 4.0593 |
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+ | 4.0159 | 1.03 | 915840 | 4.0483 |
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+ | 3.9968 | 0.03 | 992160 | 4.0385 |
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+ | 3.977 | 1.03 | 1068480 | 4.0305 |
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+ | 3.9666 | 0.03 | 1144800 | 4.0233 |
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+ | 3.9566 | 1.03 | 1221120 | 4.0167 |
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+ | 3.9466 | 0.03 | 1297440 | 4.0116 |
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+ | 3.9381 | 1.03 | 1373760 | 4.0071 |
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+ | 3.9246 | 0.03 | 1450080 | 4.0032 |
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+ | 3.9258 | 1.03 | 1526400 | 3.9998 |
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+ | 3.9207 | 0.03 | 1602720 | 3.9964 |
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+ | 3.9174 | 1.03 | 1679040 | 3.9939 |
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+ | 3.9139 | 0.03 | 1755360 | 3.9918 |
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+ | 3.909 | 1.03 | 1831680 | 3.9895 |
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+ | 3.9011 | 0.03 | 1908000 | 3.9873 |
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+ | 3.8908 | 1.03 | 1984320 | 3.9857 |
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+ | 3.8845 | 0.03 | 2060640 | 3.9840 |
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+ | 3.8807 | 1.03 | 2136960 | 3.9822 |
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+ | 3.8746 | 0.03 | 2213280 | 3.9809 |
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+ | 3.8645 | 1.03 | 2289600 | 3.9798 |
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+ | 3.8602 | 0.03 | 2365920 | 3.9777 |
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+ | 3.8618 | 1.03 | 2442240 | 3.9766 |
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+ | 3.8564 | 0.03 | 2518560 | 3.9757 |
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+ | 3.8547 | 1.03 | 2594880 | 3.9747 |
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+ | 3.8478 | 0.03 | 2671200 | 3.9738 |
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+ | 3.8532 | 1.03 | 2747520 | 3.9730 |
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+ | 3.8525 | 0.03 | 2823840 | 3.9725 |
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+ | 3.856 | 1.03 | 2900160 | 3.9718 |
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+ | 3.8575 | 0.03 | 2976480 | 3.9715 |
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+ | 3.8548 | 0.02 | 3052726 | 3.9712 |
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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