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old-pp-mod-subj-lstm-3

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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-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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+ # pp-mod-subj-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: 4.0239
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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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+ | 4.7782 | 0.03 | 76319 | 4.7947 |
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+ | 4.497 | 1.03 | 152638 | 4.5206 |
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+ | 4.3593 | 0.03 | 228957 | 4.3906 |
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+ | 4.2699 | 1.03 | 305276 | 4.3090 |
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+ | 4.2082 | 0.03 | 381595 | 4.2532 |
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+ | 4.1581 | 1.03 | 457914 | 4.2119 |
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+ | 4.1228 | 0.03 | 534233 | 4.1819 |
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+ | 4.0934 | 0.03 | 610552 | 4.1579 |
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+ | 4.0643 | 1.03 | 686871 | 4.1380 |
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+ | 4.0416 | 0.03 | 763190 | 4.1222 |
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+ | 4.023 | 1.03 | 839509 | 4.1085 |
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+ | 4.004 | 0.03 | 915828 | 4.0972 |
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+ | 3.9818 | 1.03 | 992147 | 4.0878 |
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+ | 3.9693 | 0.03 | 1068466 | 4.0803 |
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+ | 3.9563 | 1.03 | 1144785 | 4.0747 |
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+ | 3.9442 | 0.03 | 1221104 | 4.0679 |
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+ | 3.9348 | 1.03 | 1297423 | 4.0634 |
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+ | 3.9245 | 0.03 | 1373743 | 4.0571 |
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+ | 3.9172 | 1.03 | 1450063 | 4.0535 |
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+ | 3.9145 | 0.03 | 1526383 | 4.0490 |
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+ | 3.9112 | 1.03 | 1602703 | 4.0470 |
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+ | 3.9002 | 2.03 | 1679023 | 4.0447 |
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+ | 3.8944 | 0.03 | 1755343 | 4.0421 |
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+ | 3.885 | 1.03 | 1831663 | 4.0401 |
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+ | 3.8777 | 0.03 | 1907983 | 4.0379 |
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+ | 3.8724 | 1.03 | 1984303 | 4.0357 |
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+ | 3.8686 | 2.03 | 2060623 | 4.0345 |
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+ | 3.8636 | 0.03 | 2136943 | 4.0330 |
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+ | 3.8617 | 1.03 | 2213263 | 4.0317 |
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+ | 3.8563 | 2.03 | 2289583 | 4.0301 |
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+ | 3.8527 | 0.03 | 2365903 | 4.0287 |
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+ | 3.8468 | 1.03 | 2442223 | 4.0286 |
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+ | 3.8424 | 2.03 | 2518543 | 4.0272 |
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+ | 3.8413 | 0.03 | 2594863 | 4.0268 |
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+ | 3.8364 | 1.03 | 2671183 | 4.0260 |
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+ | 3.8379 | 2.03 | 2747503 | 4.0261 |
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+ | 3.8402 | 0.03 | 2823823 | 4.0251 |
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+ | 3.8354 | 1.03 | 2900143 | 4.0246 |
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+ | 3.8352 | 2.03 | 2976463 | 4.0242 |
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+ | 3.8297 | 0.02 | 3052726 | 4.0239 |
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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