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old-pp-mod-subj-lstm-0

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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-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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+ # pp-mod-subj-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: 4.0221
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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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+ | 4.7923 | 0.03 | 76319 | 4.8102 |
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+ | 4.5063 | 1.03 | 152638 | 4.5307 |
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+ | 4.365 | 0.03 | 228957 | 4.3961 |
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+ | 4.2747 | 1.03 | 305276 | 4.3126 |
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+ | 4.212 | 0.03 | 381595 | 4.2551 |
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+ | 4.1642 | 1.03 | 457914 | 4.2132 |
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+ | 4.1266 | 0.03 | 534233 | 4.1807 |
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+ | 4.0965 | 1.03 | 610552 | 4.1574 |
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+ | 4.0676 | 0.03 | 686871 | 4.1386 |
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+ | 4.0454 | 1.03 | 763190 | 4.1230 |
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+ | 4.0256 | 0.03 | 839509 | 4.1096 |
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+ | 4.0096 | 0.03 | 915828 | 4.0983 |
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+ | 3.9875 | 1.03 | 992147 | 4.0892 |
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+ | 3.9708 | 0.03 | 1068466 | 4.0805 |
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+ | 3.9619 | 1.03 | 1144785 | 4.0743 |
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+ | 3.9492 | 0.03 | 1221104 | 4.0677 |
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+ | 3.9395 | 1.03 | 1297423 | 4.0635 |
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+ | 3.9333 | 0.03 | 1373743 | 4.0583 |
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+ | 3.9224 | 1.03 | 1450063 | 4.0539 |
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+ | 3.9179 | 0.03 | 1526383 | 4.0510 |
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+ | 3.9137 | 1.03 | 1602703 | 4.0476 |
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+ | 3.9059 | 2.03 | 1679023 | 4.0453 |
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+ | 3.8991 | 0.03 | 1755343 | 4.0420 |
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+ | 3.8915 | 1.03 | 1831663 | 4.0406 |
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+ | 3.8835 | 2.03 | 1907983 | 4.0377 |
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+ | 3.88 | 0.03 | 1984303 | 4.0361 |
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+ | 3.8762 | 1.03 | 2060623 | 4.0347 |
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+ | 3.8699 | 0.03 | 2136943 | 4.0329 |
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+ | 3.8691 | 0.03 | 2213263 | 4.0315 |
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+ | 3.8616 | 1.03 | 2289583 | 4.0305 |
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+ | 3.8593 | 0.03 | 2365903 | 4.0288 |
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+ | 3.8529 | 1.03 | 2442223 | 4.0275 |
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+ | 3.8463 | 0.03 | 2518543 | 4.0265 |
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+ | 3.845 | 1.03 | 2594863 | 4.0255 |
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+ | 3.8398 | 0.03 | 2671183 | 4.0249 |
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+ | 3.8416 | 1.03 | 2747503 | 4.0241 |
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+ | 3.8438 | 2.03 | 2823823 | 4.0235 |
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+ | 3.8409 | 0.03 | 2900143 | 4.0229 |
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+ | 3.8403 | 1.03 | 2976463 | 4.0227 |
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+ | 3.8357 | 2.02 | 3052726 | 4.0221 |
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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