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old-rel-cl-lstm-1

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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-cl-lstm-1
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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-cl-lstm-1
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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: 3.9795
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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: 1
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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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+ | 4.8102 | 0.03 | 76319 | 4.7706 |
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+ | 4.5218 | 0.03 | 152638 | 4.4884 |
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+ | 4.3799 | 1.03 | 228957 | 4.3542 |
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+ | 4.2923 | 0.03 | 305276 | 4.2707 |
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+ | 4.2284 | 1.03 | 381595 | 4.2133 |
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+ | 4.1771 | 0.03 | 457914 | 4.1727 |
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+ | 4.1395 | 1.03 | 534233 | 4.1414 |
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+ | 4.1119 | 0.03 | 610552 | 4.1165 |
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+ | 4.0787 | 1.03 | 686871 | 4.0975 |
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+ | 4.0592 | 0.03 | 763190 | 4.0814 |
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+ | 4.0379 | 1.03 | 839509 | 4.0676 |
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+ | 4.0211 | 0.03 | 915828 | 4.0562 |
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+ | 4.0007 | 1.03 | 992147 | 4.0479 |
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+ | 3.9787 | 0.03 | 1068467 | 4.0382 |
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+ | 3.9644 | 1.03 | 1144787 | 4.0305 |
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+ | 3.9696 | 0.03 | 1221107 | 4.0242 |
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+ | 3.9515 | 1.03 | 1297427 | 4.0186 |
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+ | 3.9419 | 0.03 | 1373747 | 4.0144 |
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+ | 3.9319 | 1.03 | 1450067 | 4.0105 |
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+ | 3.9296 | 0.03 | 1526387 | 4.0071 |
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+ | 3.9249 | 1.03 | 1602707 | 4.0044 |
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+ | 3.9193 | 0.03 | 1679027 | 4.0014 |
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+ | 3.9168 | 1.03 | 1755347 | 3.9991 |
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+ | 3.9074 | 0.03 | 1831667 | 3.9962 |
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+ | 3.898 | 1.03 | 1907987 | 3.9941 |
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+ | 3.8886 | 0.03 | 1984307 | 3.9919 |
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+ | 3.8847 | 1.03 | 2060627 | 3.9900 |
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+ | 3.8811 | 0.03 | 2136947 | 3.9883 |
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+ | 3.8767 | 1.03 | 2213267 | 3.9873 |
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+ | 3.8694 | 0.03 | 2289587 | 3.9861 |
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+ | 3.8694 | 1.03 | 2365907 | 3.9850 |
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+ | 3.8694 | 0.03 | 2442227 | 3.9840 |
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+ | 3.8629 | 1.03 | 2518547 | 3.9831 |
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+ | 3.8586 | 0.03 | 2594867 | 3.9823 |
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+ | 3.8527 | 1.03 | 2671187 | 3.9817 |
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+ | 3.8568 | 0.03 | 2747507 | 3.9812 |
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+ | 3.855 | 0.03 | 2823827 | 3.9806 |
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+ | 3.8566 | 1.03 | 2900147 | 3.9801 |
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+ | 3.8583 | 0.03 | 2976467 | 3.9799 |
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+ | 3.8537 | 1.02 | 3052726 | 3.9795 |
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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