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rel-cl-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: rel-cl2-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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+ # rel-cl2-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: 3.9753
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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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+ | 4.7969 | 0.03 | 76320 | 4.7632 |
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+ | 4.5095 | 1.03 | 152640 | 4.4761 |
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+ | 4.3676 | 0.03 | 228960 | 4.3396 |
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+ | 4.2783 | 1.03 | 305280 | 4.2578 |
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+ | 4.2173 | 0.03 | 381600 | 4.2011 |
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+ | 4.1732 | 1.03 | 457920 | 4.1603 |
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+ | 4.1335 | 0.03 | 534240 | 4.1303 |
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+ | 4.1006 | 1.03 | 610560 | 4.1066 |
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+ | 4.0695 | 0.03 | 686880 | 4.0870 |
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+ | 4.0465 | 1.03 | 763200 | 4.0715 |
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+ | 4.0224 | 0.03 | 839520 | 4.0582 |
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+ | 4.0057 | 1.03 | 915840 | 4.0470 |
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+ | 3.9883 | 0.03 | 992160 | 4.0386 |
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+ | 3.9732 | 1.03 | 1068480 | 4.0313 |
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+ | 3.9651 | 0.03 | 1144800 | 4.0252 |
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+ | 3.9525 | 1.03 | 1221120 | 4.0188 |
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+ | 3.9385 | 0.03 | 1297440 | 4.0134 |
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+ | 3.929 | 0.03 | 1373760 | 4.0089 |
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+ | 3.9225 | 1.03 | 1450080 | 4.0052 |
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+ | 3.9149 | 2.03 | 1526400 | 4.0018 |
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+ | 3.9108 | 0.03 | 1602720 | 3.9988 |
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+ | 3.9075 | 1.03 | 1679040 | 3.9958 |
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+ | 3.9004 | 0.03 | 1755360 | 3.9936 |
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+ | 3.8954 | 1.03 | 1831680 | 3.9913 |
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+ | 3.8852 | 0.03 | 1908000 | 3.9891 |
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+ | 3.881 | 1.03 | 1984320 | 3.9874 |
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+ | 3.8755 | 0.03 | 2060640 | 3.9854 |
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+ | 3.8688 | 0.03 | 2136960 | 3.9840 |
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+ | 3.8632 | 1.03 | 2213280 | 3.9830 |
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+ | 3.8571 | 0.03 | 2289600 | 3.9818 |
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+ | 3.8571 | 1.03 | 2365920 | 3.9805 |
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+ | 3.853 | 0.03 | 2442240 | 3.9794 |
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+ | 3.8473 | 1.03 | 2518560 | 3.9785 |
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+ | 3.8449 | 0.03 | 2594880 | 3.9777 |
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+ | 3.8444 | 1.03 | 2671200 | 3.9773 |
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+ | 3.8426 | 0.03 | 2747520 | 3.9766 |
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+ | 3.8423 | 1.03 | 2823840 | 3.9763 |
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+ | 3.844 | 0.03 | 2900160 | 3.9760 |
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+ | 3.8417 | 1.03 | 2976480 | 3.9755 |
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+ | 3.8393 | 0.02 | 3052726 | 3.9753 |
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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