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old-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-cl-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-cl-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: 3.9774
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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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+ | 4.8082 | 0.03 | 76319 | 4.7686 |
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+ | 4.5186 | 1.03 | 152638 | 4.4836 |
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+ | 4.3751 | 0.03 | 228957 | 4.3481 |
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+ | 4.2868 | 1.03 | 305276 | 4.2655 |
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+ | 4.2227 | 0.03 | 381595 | 4.2085 |
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+ | 4.1713 | 0.03 | 457914 | 4.1671 |
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+ | 4.1342 | 0.03 | 534233 | 4.1361 |
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+ | 4.1036 | 0.03 | 610552 | 4.1114 |
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+ | 4.0715 | 1.03 | 686871 | 4.0915 |
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+ | 4.0524 | 0.03 | 763190 | 4.0756 |
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+ | 4.0316 | 1.03 | 839509 | 4.0636 |
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+ | 4.0127 | 0.03 | 915828 | 4.0522 |
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+ | 3.9912 | 0.03 | 992147 | 4.0424 |
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+ | 3.9787 | 1.03 | 1068466 | 4.0349 |
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+ | 3.9572 | 0.03 | 1144786 | 4.0269 |
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+ | 3.9465 | 1.03 | 1221106 | 4.0206 |
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+ | 3.9442 | 0.03 | 1297426 | 4.0153 |
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+ | 3.9335 | 1.03 | 1373746 | 4.0111 |
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+ | 3.9232 | 0.03 | 1450066 | 4.0068 |
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+ | 3.9185 | 1.03 | 1526386 | 4.0029 |
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+ | 3.9139 | 0.03 | 1602706 | 3.9997 |
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+ | 3.9108 | 1.03 | 1679026 | 3.9973 |
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+ | 3.9081 | 0.03 | 1755346 | 3.9954 |
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+ | 3.8976 | 1.03 | 1831666 | 3.9930 |
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+ | 3.8919 | 0.03 | 1907986 | 3.9912 |
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+ | 3.8824 | 1.03 | 1984306 | 3.9896 |
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+ | 3.8759 | 0.03 | 2060626 | 3.9880 |
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+ | 3.8735 | 1.03 | 2136946 | 3.9865 |
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+ | 3.8676 | 0.03 | 2213266 | 3.9854 |
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+ | 3.8588 | 1.03 | 2289586 | 3.9842 |
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+ | 3.8596 | 0.03 | 2365906 | 3.9830 |
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+ | 3.8594 | 0.03 | 2442226 | 3.9820 |
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+ | 3.8535 | 1.03 | 2518546 | 3.9811 |
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+ | 3.8489 | 0.03 | 2594866 | 3.9804 |
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+ | 3.8453 | 1.03 | 2671186 | 3.9795 |
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+ | 3.8472 | 0.03 | 2747506 | 3.9791 |
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+ | 3.8447 | 1.03 | 2823826 | 3.9786 |
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+ | 3.8473 | 0.03 | 2900146 | 3.9781 |
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+ | 3.8489 | 0.03 | 2976466 | 3.9777 |
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+ | 3.8439 | 1.02 | 3052726 | 3.9774 |
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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