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passive-lstm-2

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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: passive-lstm-2
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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-2
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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: 3.9742
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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: 2
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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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+ | 4.7721 | 0.03 | 76320 | 4.7403 |
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+ | 4.4938 | 1.03 | 152640 | 4.4686 |
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+ | 4.3497 | 0.03 | 228960 | 4.3374 |
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+ | 4.2699 | 0.03 | 305280 | 4.2560 |
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+ | 4.2042 | 1.03 | 381600 | 4.2005 |
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+ | 4.1597 | 0.03 | 457920 | 4.1602 |
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+ | 4.1213 | 0.03 | 534240 | 4.1284 |
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+ | 4.0881 | 1.03 | 610560 | 4.1051 |
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+ | 4.058 | 0.03 | 686880 | 4.0860 |
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+ | 4.0344 | 1.03 | 763200 | 4.0706 |
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+ | 4.0105 | 0.03 | 839520 | 4.0573 |
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+ | 3.9935 | 1.03 | 915840 | 4.0466 |
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+ | 3.9739 | 0.03 | 992160 | 4.0379 |
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+ | 3.9532 | 1.03 | 1068480 | 4.0302 |
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+ | 3.9432 | 0.03 | 1144800 | 4.0231 |
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+ | 3.939 | 1.03 | 1221120 | 4.0177 |
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+ | 3.9282 | 0.03 | 1297440 | 4.0131 |
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+ | 3.9195 | 1.03 | 1373760 | 4.0090 |
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+ | 3.9069 | 0.03 | 1450080 | 4.0045 |
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+ | 3.9075 | 1.03 | 1526400 | 4.0009 |
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+ | 3.8977 | 0.03 | 1602720 | 3.9981 |
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+ | 3.8977 | 1.03 | 1679040 | 3.9952 |
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+ | 3.892 | 0.03 | 1755360 | 3.9930 |
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+ | 3.8848 | 1.03 | 1831680 | 3.9905 |
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+ | 3.8757 | 0.03 | 1908000 | 3.9878 |
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+ | 3.8689 | 1.03 | 1984320 | 3.9858 |
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+ | 3.8612 | 0.03 | 2060640 | 3.9842 |
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+ | 3.8576 | 1.03 | 2136960 | 3.9836 |
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+ | 3.8501 | 0.03 | 2213280 | 3.9823 |
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+ | 3.8404 | 1.03 | 2289600 | 3.9811 |
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+ | 3.8371 | 0.03 | 2365920 | 3.9803 |
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+ | 3.8437 | 1.03 | 2442240 | 3.9792 |
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+ | 3.8388 | 0.03 | 2518560 | 3.9781 |
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+ | 3.8353 | 0.03 | 2594880 | 3.9776 |
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+ | 3.8294 | 0.03 | 2671200 | 3.9766 |
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+ | 3.8363 | 1.03 | 2747520 | 3.9760 |
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+ | 3.8327 | 0.03 | 2823840 | 3.9755 |
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+ | 3.8355 | 0.03 | 2900160 | 3.9750 |
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+ | 3.8333 | 1.03 | 2976480 | 3.9745 |
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+ | 3.8312 | 0.02 | 3052726 | 3.9742 |
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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