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rel-cl-lstm-3

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PyTorch
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-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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+ # rel-cl2-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: 3.9812
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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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+ | 4.8054 | 0.03 | 76320 | 4.7703 |
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+ | 4.5214 | 1.03 | 152640 | 4.4883 |
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+ | 4.3827 | 0.03 | 228960 | 4.3543 |
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+ | 4.2926 | 1.03 | 305280 | 4.2707 |
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+ | 4.2323 | 0.03 | 381600 | 4.2143 |
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+ | 4.1855 | 1.03 | 457920 | 4.1734 |
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+ | 4.1449 | 0.03 | 534240 | 4.1420 |
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+ | 4.1118 | 0.03 | 610560 | 4.1175 |
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+ | 4.0834 | 1.03 | 686880 | 4.0976 |
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+ | 4.06 | 0.03 | 763200 | 4.0817 |
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+ | 4.0383 | 1.03 | 839520 | 4.0689 |
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+ | 4.0217 | 0.03 | 915840 | 4.0581 |
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+ | 4.0046 | 1.03 | 992160 | 4.0483 |
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+ | 3.9881 | 0.03 | 1068480 | 4.0400 |
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+ | 3.9791 | 1.03 | 1144800 | 4.0334 |
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+ | 3.9628 | 0.03 | 1221120 | 4.0276 |
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+ | 3.9508 | 1.03 | 1297440 | 4.0224 |
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+ | 3.9439 | 0.03 | 1373760 | 4.0180 |
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+ | 3.9351 | 0.03 | 1450080 | 4.0142 |
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+ | 3.9291 | 1.03 | 1526400 | 4.0104 |
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+ | 3.9253 | 2.03 | 1602720 | 4.0073 |
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+ | 3.9226 | 0.03 | 1679040 | 4.0045 |
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+ | 3.9127 | 0.03 | 1755360 | 4.0015 |
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+ | 3.9077 | 1.03 | 1831680 | 3.9987 |
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+ | 3.8983 | 0.03 | 1908000 | 3.9967 |
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+ | 3.893 | 0.03 | 1984320 | 3.9944 |
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+ | 3.8886 | 1.03 | 2060640 | 3.9931 |
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+ | 3.8846 | 0.03 | 2136960 | 3.9916 |
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+ | 3.8799 | 0.03 | 2213280 | 3.9905 |
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+ | 3.8724 | 1.03 | 2289600 | 3.9890 |
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+ | 3.8715 | 0.03 | 2365920 | 3.9880 |
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+ | 3.8656 | 0.03 | 2442240 | 3.9867 |
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+ | 3.8601 | 1.03 | 2518560 | 3.9855 |
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+ | 3.8572 | 0.03 | 2594880 | 3.9846 |
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+ | 3.8562 | 1.03 | 2671200 | 3.9837 |
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+ | 3.8552 | 0.03 | 2747520 | 3.9831 |
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+ | 3.8573 | 1.03 | 2823840 | 3.9824 |
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+ | 3.8556 | 0.03 | 2900160 | 3.9819 |
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+ | 3.8545 | 1.03 | 2976480 | 3.9815 |
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+ | 3.8545 | 0.02 | 3052726 | 3.9812 |
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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