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full-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: full2-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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+ # full2-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: 3.9693
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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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+ | 4.7908 | 0.03 | 76320 | 4.7591 |
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+ | 4.503 | 1.03 | 152640 | 4.4757 |
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+ | 4.3573 | 0.03 | 228960 | 4.3392 |
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+ | 4.2734 | 1.03 | 305280 | 4.2557 |
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+ | 4.2087 | 0.03 | 381600 | 4.1996 |
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+ | 4.1623 | 1.03 | 457920 | 4.1579 |
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+ | 4.1299 | 0.03 | 534240 | 4.1275 |
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+ | 4.0985 | 1.03 | 610560 | 4.1030 |
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+ | 4.0681 | 0.03 | 686880 | 4.0831 |
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+ | 4.0451 | 1.03 | 763200 | 4.0677 |
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+ | 4.0249 | 0.03 | 839520 | 4.0546 |
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+ | 4.0052 | 1.03 | 915840 | 4.0434 |
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+ | 3.9931 | 0.03 | 992160 | 4.0340 |
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+ | 3.978 | 1.03 | 1068480 | 4.0267 |
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+ | 3.9631 | 0.03 | 1144800 | 4.0203 |
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+ | 3.9499 | 1.03 | 1221120 | 4.0141 |
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+ | 3.9341 | 0.03 | 1297440 | 4.0091 |
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+ | 3.9257 | 1.03 | 1373760 | 4.0043 |
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+ | 3.9144 | 0.03 | 1450080 | 4.0004 |
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+ | 3.9117 | 0.03 | 1526400 | 3.9971 |
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+ | 3.9051 | 1.03 | 1602720 | 3.9939 |
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+ | 3.9014 | 0.03 | 1679040 | 3.9910 |
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+ | 3.9001 | 1.03 | 1755360 | 3.9879 |
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+ | 3.8949 | 0.03 | 1831680 | 3.9852 |
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+ | 3.8882 | 1.03 | 1908000 | 3.9834 |
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+ | 3.8832 | 0.03 | 1984320 | 3.9819 |
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+ | 3.8759 | 1.03 | 2060640 | 3.9804 |
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+ | 3.8706 | 0.03 | 2136960 | 3.9790 |
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+ | 3.8694 | 1.03 | 2213280 | 3.9776 |
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+ | 3.8642 | 0.03 | 2289600 | 3.9764 |
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+ | 3.8565 | 1.03 | 2365920 | 3.9754 |
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+ | 3.853 | 0.03 | 2442240 | 3.9741 |
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+ | 3.8458 | 1.03 | 2518560 | 3.9735 |
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+ | 3.8418 | 0.03 | 2594880 | 3.9724 |
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+ | 3.8351 | 0.03 | 2671200 | 3.9713 |
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+ | 3.8391 | 0.03 | 2747520 | 3.9706 |
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+ | 3.8383 | 0.03 | 2823840 | 3.9701 |
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+ | 3.839 | 0.03 | 2900160 | 3.9698 |
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+ | 3.8427 | 0.03 | 2976480 | 3.9694 |
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+ | 3.8414 | 1.02 | 3052726 | 3.9693 |
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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