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old-pp-mod-subj-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: pp-mod-subj-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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+ # pp-mod-subj-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: 4.0224
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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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+ | 4.7849 | 0.03 | 76319 | 4.8022 |
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+ | 4.5004 | 1.03 | 152638 | 4.5227 |
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+ | 4.3599 | 0.03 | 228957 | 4.3896 |
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+ | 4.2696 | 1.03 | 305276 | 4.3071 |
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+ | 4.2077 | 0.03 | 381595 | 4.2521 |
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+ | 4.159 | 1.03 | 457914 | 4.2115 |
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+ | 4.1216 | 0.03 | 534233 | 4.1809 |
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+ | 4.0933 | 1.03 | 610552 | 4.1563 |
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+ | 4.0655 | 0.03 | 686871 | 4.1367 |
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+ | 4.04 | 0.03 | 763190 | 4.1205 |
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+ | 4.0235 | 1.03 | 839509 | 4.1073 |
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+ | 3.9961 | 0.03 | 915829 | 4.0956 |
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+ | 3.9757 | 1.03 | 992149 | 4.0857 |
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+ | 3.9626 | 2.03 | 1068469 | 4.0777 |
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+ | 3.9615 | 0.03 | 1144789 | 4.0696 |
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+ | 3.95 | 1.03 | 1221109 | 4.0640 |
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+ | 3.9353 | 0.03 | 1297429 | 4.0601 |
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+ | 3.9269 | 1.03 | 1373749 | 4.0546 |
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+ | 3.92 | 0.03 | 1450069 | 4.0511 |
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+ | 3.9153 | 1.03 | 1526389 | 4.0480 |
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+ | 3.9133 | 2.03 | 1602709 | 4.0449 |
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+ | 3.9024 | 0.03 | 1679029 | 4.0422 |
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+ | 3.8976 | 1.03 | 1755349 | 4.0404 |
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+ | 3.893 | 2.03 | 1831669 | 4.0375 |
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+ | 3.8841 | 0.03 | 1907989 | 4.0360 |
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+ | 3.8781 | 1.03 | 1984309 | 4.0336 |
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+ | 3.8733 | 0.03 | 2060629 | 4.0318 |
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+ | 3.8696 | 0.03 | 2136949 | 4.0307 |
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+ | 3.8654 | 1.03 | 2213269 | 4.0296 |
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+ | 3.8611 | 2.03 | 2289589 | 4.0286 |
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+ | 3.8572 | 0.03 | 2365909 | 4.0275 |
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+ | 3.8535 | 0.03 | 2442229 | 4.0267 |
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+ | 3.8476 | 0.03 | 2518549 | 4.0260 |
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+ | 3.8458 | 1.03 | 2594869 | 4.0250 |
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+ | 3.8425 | 0.03 | 2671189 | 4.0245 |
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+ | 3.8468 | 1.03 | 2747509 | 4.0237 |
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+ | 3.847 | 2.03 | 2823829 | 4.0235 |
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+ | 3.8412 | 0.03 | 2900149 | 4.0230 |
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+ | 3.8407 | 1.03 | 2976469 | 4.0225 |
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+ | 3.8391 | 2.02 | 3052726 | 4.0224 |
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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