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rel-cl-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: rel-cl2-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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+ # rel-cl2-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: 3.9791
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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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+ | 4.8127 | 0.03 | 76320 | 4.7766 |
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+ | 4.522 | 1.03 | 152640 | 4.4899 |
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+ | 4.3812 | 0.03 | 228960 | 4.3533 |
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+ | 4.2903 | 1.03 | 305280 | 4.2686 |
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+ | 4.2294 | 0.03 | 381600 | 4.2113 |
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+ | 4.1806 | 1.03 | 457920 | 4.1694 |
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+ | 4.1393 | 0.03 | 534240 | 4.1382 |
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+ | 4.1073 | 1.03 | 610560 | 4.1141 |
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+ | 4.0771 | 0.03 | 686880 | 4.0934 |
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+ | 4.0523 | 1.03 | 763200 | 4.0774 |
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+ | 4.0323 | 0.03 | 839520 | 4.0638 |
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+ | 4.0151 | 1.03 | 915840 | 4.0536 |
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+ | 3.9965 | 0.03 | 992160 | 4.0444 |
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+ | 3.9819 | 1.03 | 1068480 | 4.0361 |
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+ | 3.9725 | 0.03 | 1144800 | 4.0289 |
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+ | 3.9584 | 1.03 | 1221120 | 4.0227 |
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+ | 3.9459 | 0.03 | 1297440 | 4.0175 |
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+ | 3.9353 | 1.03 | 1373760 | 4.0132 |
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+ | 3.931 | 0.03 | 1450080 | 4.0095 |
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+ | 3.9245 | 1.03 | 1526400 | 4.0062 |
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+ | 3.9211 | 0.03 | 1602720 | 4.0030 |
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+ | 3.9169 | 1.03 | 1679040 | 4.0008 |
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+ | 3.9098 | 0.03 | 1755360 | 3.9978 |
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+ | 3.9016 | 1.03 | 1831680 | 3.9956 |
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+ | 3.8961 | 0.03 | 1908000 | 3.9935 |
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+ | 3.8877 | 1.03 | 1984320 | 3.9921 |
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+ | 3.8819 | 0.03 | 2060640 | 3.9904 |
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+ | 3.8791 | 0.03 | 2136960 | 3.9887 |
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+ | 3.8725 | 1.03 | 2213280 | 3.9875 |
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+ | 3.8674 | 0.03 | 2289600 | 3.9857 |
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+ | 3.8651 | 0.03 | 2365920 | 3.9848 |
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+ | 3.8611 | 1.03 | 2442240 | 3.9841 |
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+ | 3.8565 | 0.03 | 2518560 | 3.9834 |
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+ | 3.8527 | 1.03 | 2594880 | 3.9825 |
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+ | 3.8532 | 0.03 | 2671200 | 3.9817 |
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+ | 3.8515 | 1.03 | 2747520 | 3.9812 |
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+ | 3.8542 | 0.03 | 2823840 | 3.9804 |
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+ | 3.8536 | 1.03 | 2900160 | 3.9801 |
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+ | 3.8506 | 0.03 | 2976480 | 3.9795 |
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+ | 3.8498 | 1.02 | 3052726 | 3.9791 |
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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