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rel-cl-lstm-2

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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-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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+ # rel-cl2-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: 3.9808
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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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+ | 4.8075 | 0.03 | 76320 | 4.7715 |
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+ | 4.5233 | 1.03 | 152640 | 4.4891 |
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+ | 4.3831 | 0.03 | 228960 | 4.3540 |
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+ | 4.2934 | 1.03 | 305280 | 4.2712 |
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+ | 4.2326 | 0.03 | 381600 | 4.2147 |
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+ | 4.1845 | 1.03 | 457920 | 4.1724 |
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+ | 4.143 | 0.03 | 534240 | 4.1408 |
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+ | 4.1105 | 1.03 | 610560 | 4.1176 |
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+ | 4.081 | 0.03 | 686880 | 4.0976 |
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+ | 4.0578 | 1.03 | 763200 | 4.0816 |
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+ | 4.0362 | 0.03 | 839520 | 4.0684 |
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+ | 4.0191 | 1.03 | 915840 | 4.0569 |
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+ | 4.0014 | 0.03 | 992160 | 4.0468 |
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+ | 3.9866 | 1.03 | 1068480 | 4.0398 |
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+ | 3.9777 | 0.03 | 1144800 | 4.0328 |
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+ | 3.9631 | 1.03 | 1221120 | 4.0265 |
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+ | 3.9475 | 0.03 | 1297440 | 4.0213 |
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+ | 3.9387 | 1.03 | 1373760 | 4.0167 |
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+ | 3.9312 | 0.03 | 1450080 | 4.0121 |
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+ | 3.9247 | 1.03 | 1526400 | 4.0087 |
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+ | 3.9214 | 2.03 | 1602720 | 4.0049 |
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+ | 3.9176 | 0.03 | 1679040 | 4.0025 |
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+ | 3.909 | 0.03 | 1755360 | 3.9991 |
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+ | 3.9035 | 1.03 | 1831680 | 3.9967 |
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+ | 3.8969 | 0.03 | 1908000 | 3.9954 |
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+ | 3.8922 | 1.03 | 1984320 | 3.9938 |
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+ | 3.884 | 0.03 | 2060640 | 3.9921 |
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+ | 3.8804 | 1.03 | 2136960 | 3.9902 |
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+ | 3.8743 | 0.03 | 2213280 | 3.9888 |
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+ | 3.8693 | 1.03 | 2289600 | 3.9874 |
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+ | 3.869 | 0.03 | 2365920 | 3.9863 |
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+ | 3.8625 | 0.03 | 2442240 | 3.9854 |
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+ | 3.8571 | 1.03 | 2518560 | 3.9844 |
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+ | 3.8528 | 0.03 | 2594880 | 3.9836 |
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+ | 3.8525 | 0.03 | 2671200 | 3.9831 |
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+ | 3.8521 | 1.03 | 2747520 | 3.9822 |
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+ | 3.8535 | 0.03 | 2823840 | 3.9818 |
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+ | 3.8537 | 1.03 | 2900160 | 3.9814 |
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+ | 3.8522 | 0.03 | 2976480 | 3.9810 |
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+ | 3.8514 | 1.02 | 3052726 | 3.9808 |
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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