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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-subj2-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-subj2-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: 4.0236
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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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+ | 4.7998 | 0.03 | 76320 | 4.8120 |
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+ | 4.5096 | 1.03 | 152640 | 4.5251 |
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+ | 4.3616 | 0.03 | 228960 | 4.3905 |
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+ | 4.2752 | 1.03 | 305280 | 4.3081 |
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+ | 4.2147 | 0.03 | 381600 | 4.2510 |
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+ | 4.1606 | 1.03 | 457920 | 4.2100 |
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+ | 4.121 | 2.03 | 534240 | 4.1801 |
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+ | 4.0874 | 0.03 | 610560 | 4.1569 |
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+ | 4.0594 | 1.03 | 686880 | 4.1368 |
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+ | 4.0388 | 0.03 | 763200 | 4.1216 |
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+ | 4.016 | 1.03 | 839520 | 4.1087 |
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+ | 4.0008 | 2.03 | 915840 | 4.0984 |
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+ | 3.9863 | 0.03 | 992160 | 4.0888 |
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+ | 3.9719 | 1.03 | 1068480 | 4.0808 |
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+ | 3.9568 | 2.03 | 1144800 | 4.0741 |
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+ | 3.9403 | 0.03 | 1221120 | 4.0691 |
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+ | 3.9322 | 1.03 | 1297440 | 4.0641 |
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+ | 3.9259 | 2.03 | 1373760 | 4.0599 |
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+ | 3.9149 | 0.03 | 1450080 | 4.0563 |
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+ | 3.9133 | 1.03 | 1526400 | 4.0523 |
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+ | 3.9093 | 2.03 | 1602720 | 4.0500 |
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+ | 3.8988 | 0.03 | 1679040 | 4.0472 |
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+ | 3.8926 | 1.03 | 1755360 | 4.0448 |
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+ | 3.8832 | 2.03 | 1831680 | 4.0416 |
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+ | 3.8768 | 0.03 | 1908000 | 4.0403 |
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+ | 3.8735 | 1.03 | 1984320 | 4.0384 |
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+ | 3.8645 | 2.03 | 2060640 | 4.0364 |
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+ | 3.8607 | 0.03 | 2136960 | 4.0340 |
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+ | 3.8578 | 1.03 | 2213280 | 4.0319 |
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+ | 3.8554 | 0.03 | 2289600 | 4.0308 |
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+ | 3.848 | 1.03 | 2365920 | 4.0301 |
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+ | 3.843 | 0.03 | 2442240 | 4.0291 |
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+ | 3.8407 | 0.03 | 2518560 | 4.0285 |
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+ | 3.839 | 1.03 | 2594880 | 4.0277 |
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+ | 3.8342 | 0.03 | 2671200 | 4.0266 |
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+ | 3.8362 | 1.03 | 2747520 | 4.0257 |
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+ | 3.8409 | 0.03 | 2823840 | 4.0250 |
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+ | 3.8346 | 1.03 | 2900160 | 4.0244 |
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+ | 3.8314 | 0.03 | 2976480 | 4.0241 |
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+ | 3.8276 | 1.02 | 3052726 | 4.0236 |
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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