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passive-lstm-3

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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: passive-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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+ # passive-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: 3.9758
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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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+ | 4.7862 | 0.03 | 76320 | 4.7540 |
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+ | 4.5018 | 1.03 | 152640 | 4.4769 |
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+ | 4.3581 | 0.03 | 228960 | 4.3442 |
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+ | 4.2765 | 1.03 | 305280 | 4.2620 |
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+ | 4.2091 | 0.03 | 381600 | 4.2051 |
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+ | 4.165 | 1.03 | 457920 | 4.1646 |
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+ | 4.1287 | 0.03 | 534240 | 4.1337 |
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+ | 4.0943 | 1.03 | 610560 | 4.1093 |
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+ | 4.0646 | 0.03 | 686880 | 4.0900 |
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+ | 4.0398 | 1.03 | 763200 | 4.0745 |
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+ | 4.0153 | 0.03 | 839520 | 4.0605 |
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+ | 4.0 | 1.03 | 915840 | 4.0496 |
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+ | 3.9807 | 0.03 | 992160 | 4.0402 |
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+ | 3.9611 | 1.03 | 1068480 | 4.0328 |
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+ | 3.95 | 0.03 | 1144800 | 4.0260 |
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+ | 3.944 | 0.03 | 1221120 | 4.0201 |
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+ | 3.9343 | 1.03 | 1297440 | 4.0151 |
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+ | 3.9249 | 0.03 | 1373760 | 4.0100 |
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+ | 3.9123 | 1.03 | 1450080 | 4.0060 |
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+ | 3.9137 | 0.03 | 1526400 | 4.0030 |
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+ | 3.9056 | 1.03 | 1602720 | 3.9993 |
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+ | 3.9041 | 0.03 | 1679040 | 3.9967 |
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+ | 3.899 | 1.03 | 1755360 | 3.9946 |
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+ | 3.8906 | 0.03 | 1831680 | 3.9923 |
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+ | 3.8842 | 1.03 | 1908000 | 3.9901 |
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+ | 3.877 | 0.03 | 1984320 | 3.9888 |
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+ | 3.871 | 1.03 | 2060640 | 3.9871 |
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+ | 3.867 | 0.03 | 2136960 | 3.9856 |
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+ | 3.8583 | 1.03 | 2213280 | 3.9843 |
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+ | 3.8468 | 0.03 | 2289600 | 3.9828 |
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+ | 3.845 | 1.03 | 2365920 | 3.9818 |
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+ | 3.8488 | 0.03 | 2442240 | 3.9806 |
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+ | 3.8449 | 1.03 | 2518560 | 3.9798 |
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+ | 3.8408 | 0.03 | 2594880 | 3.9789 |
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+ | 3.8354 | 1.03 | 2671200 | 3.9783 |
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+ | 3.842 | 0.03 | 2747520 | 3.9775 |
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+ | 3.8387 | 1.03 | 2823840 | 3.9769 |
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+ | 3.8414 | 0.03 | 2900160 | 3.9766 |
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+ | 3.8397 | 1.03 | 2976480 | 3.9761 |
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+ | 3.8394 | 0.02 | 3052726 | 3.9758 |
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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