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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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<!-- 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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# passive-lstm-3 |
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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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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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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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### Training results |
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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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### Framework versions |
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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 |
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