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old-pp-mod-subj-lstm-4

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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: pp-mod-subj-lstm-4
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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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+ # pp-mod-subj-lstm-4
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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: 4.0228
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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: 4
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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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+ | 4.7906 | 0.03 | 76319 | 4.8075 |
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+ | 4.5003 | 1.03 | 152638 | 4.5249 |
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+ | 4.3616 | 0.03 | 228957 | 4.3904 |
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+ | 4.2704 | 1.03 | 305276 | 4.3082 |
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+ | 4.2086 | 0.03 | 381595 | 4.2515 |
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+ | 4.1599 | 1.03 | 457914 | 4.2106 |
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+ | 4.1234 | 0.03 | 534233 | 4.1798 |
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+ | 4.0919 | 1.03 | 610552 | 4.1544 |
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+ | 4.0655 | 0.03 | 686871 | 4.1360 |
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+ | 4.0406 | 1.03 | 763190 | 4.1198 |
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+ | 4.0219 | 0.03 | 839509 | 4.1069 |
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+ | 4.0045 | 1.03 | 915828 | 4.0971 |
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+ | 3.9834 | 0.03 | 992147 | 4.0878 |
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+ | 3.9687 | 0.03 | 1068466 | 4.0806 |
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+ | 3.956 | 1.03 | 1144785 | 4.0738 |
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+ | 3.952 | 0.03 | 1221105 | 4.0657 |
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+ | 3.9407 | 1.03 | 1297425 | 4.0606 |
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+ | 3.9296 | 0.03 | 1373745 | 4.0566 |
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+ | 3.917 | 1.03 | 1450065 | 4.0529 |
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+ | 3.9143 | 2.03 | 1526385 | 4.0498 |
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+ | 3.909 | 0.03 | 1602705 | 4.0460 |
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+ | 3.9 | 1.03 | 1679025 | 4.0440 |
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+ | 3.8943 | 2.03 | 1755345 | 4.0411 |
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+ | 3.888 | 0.03 | 1831665 | 4.0389 |
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+ | 3.8795 | 1.03 | 1907985 | 4.0365 |
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+ | 3.8727 | 2.03 | 1984305 | 4.0343 |
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+ | 3.8701 | 0.03 | 2060625 | 4.0330 |
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+ | 3.8647 | 1.03 | 2136945 | 4.0315 |
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+ | 3.8625 | 2.03 | 2213265 | 4.0301 |
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+ | 3.8572 | 0.03 | 2289585 | 4.0286 |
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+ | 3.8561 | 0.03 | 2365905 | 4.0274 |
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+ | 3.8493 | 1.03 | 2442225 | 4.0270 |
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+ | 3.8418 | 2.03 | 2518545 | 4.0264 |
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+ | 3.8425 | 0.03 | 2594865 | 4.0256 |
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+ | 3.839 | 1.03 | 2671185 | 4.0251 |
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+ | 3.8411 | 2.03 | 2747505 | 4.0247 |
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+ | 3.8431 | 0.03 | 2823825 | 4.0241 |
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+ | 3.8379 | 0.03 | 2900145 | 4.0237 |
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+ | 3.8353 | 1.03 | 2976465 | 4.0233 |
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+ | 3.8331 | 0.02 | 3052726 | 4.0228 |
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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