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npi-sent-neg-lstm-3

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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-3
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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-3
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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: 3.9695
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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: 3
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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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+ | 4.7787 | 0.03 | 76320 | 4.7454 |
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+ | 4.4985 | 1.03 | 152640 | 4.4658 |
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+ | 4.3554 | 0.03 | 228960 | 4.3321 |
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+ | 4.2729 | 1.03 | 305280 | 4.2502 |
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+ | 4.2103 | 0.03 | 381600 | 4.1941 |
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+ | 4.1659 | 1.03 | 457920 | 4.1536 |
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+ | 4.1289 | 0.03 | 534240 | 4.1227 |
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+ | 4.0969 | 1.03 | 610560 | 4.0994 |
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+ | 4.0686 | 0.03 | 686880 | 4.0806 |
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+ | 4.042 | 1.03 | 763200 | 4.0645 |
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+ | 4.0214 | 0.03 | 839520 | 4.0523 |
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+ | 4.0052 | 1.03 | 915840 | 4.0417 |
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+ | 3.988 | 0.03 | 992160 | 4.0327 |
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+ | 3.9675 | 1.03 | 1068480 | 4.0249 |
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+ | 3.9565 | 0.03 | 1144800 | 4.0184 |
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+ | 3.947 | 1.03 | 1221120 | 4.0131 |
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+ | 3.9356 | 0.03 | 1297440 | 4.0083 |
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+ | 3.9268 | 1.03 | 1373760 | 4.0033 |
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+ | 3.9145 | 0.03 | 1450080 | 3.9987 |
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+ | 3.9159 | 1.03 | 1526400 | 3.9962 |
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+ | 3.9097 | 0.03 | 1602720 | 3.9930 |
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+ | 3.9062 | 0.03 | 1679040 | 3.9900 |
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+ | 3.903 | 1.03 | 1755360 | 3.9876 |
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+ | 3.8964 | 0.03 | 1831680 | 3.9853 |
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+ | 3.8904 | 1.03 | 1908000 | 3.9837 |
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+ | 3.8806 | 0.03 | 1984320 | 3.9820 |
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+ | 3.8744 | 1.03 | 2060640 | 3.9805 |
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+ | 3.8708 | 0.03 | 2136960 | 3.9789 |
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+ | 3.8653 | 1.03 | 2213280 | 3.9777 |
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+ | 3.8555 | 0.03 | 2289600 | 3.9765 |
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+ | 3.8522 | 1.03 | 2365920 | 3.9758 |
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+ | 3.8512 | 0.03 | 2442240 | 3.9746 |
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+ | 3.8452 | 1.03 | 2518560 | 3.9737 |
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+ | 3.8453 | 0.03 | 2594880 | 3.9729 |
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+ | 3.8385 | 1.03 | 2671200 | 3.9722 |
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+ | 3.8427 | 0.03 | 2747520 | 3.9714 |
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+ | 3.8428 | 1.03 | 2823840 | 3.9708 |
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+ | 3.8445 | 0.03 | 2900160 | 3.9701 |
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+ | 3.8459 | 1.03 | 2976480 | 3.9698 |
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+ | 3.8442 | 0.02 | 3052726 | 3.9695 |
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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