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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-1 |
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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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# pp-mod-subj2-lstm-1 |
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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: 4.0244 |
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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: 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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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-------:|:---------------:| |
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| 4.7926 | 0.03 | 76320 | 4.8046 | |
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| 4.5099 | 1.03 | 152640 | 4.5258 | |
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| 4.3635 | 0.03 | 228960 | 4.3901 | |
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| 4.2771 | 1.03 | 305280 | 4.3076 | |
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| 4.2173 | 2.03 | 381600 | 4.2516 | |
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| 4.1646 | 0.03 | 457920 | 4.2105 | |
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| 4.1238 | 0.03 | 534240 | 4.1808 | |
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| 4.0899 | 1.03 | 610560 | 4.1562 | |
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| 4.0628 | 2.03 | 686880 | 4.1370 | |
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| 4.0419 | 0.03 | 763200 | 4.1217 | |
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| 4.0191 | 1.03 | 839520 | 4.1092 | |
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| 4.0021 | 2.03 | 915840 | 4.0979 | |
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| 3.9884 | 0.03 | 992160 | 4.0885 | |
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| 3.9743 | 1.03 | 1068480 | 4.0805 | |
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| 3.9592 | 2.03 | 1144800 | 4.0736 | |
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| 3.9441 | 0.03 | 1221120 | 4.0688 | |
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| 3.9355 | 1.03 | 1297440 | 4.0630 | |
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| 3.9289 | 2.03 | 1373760 | 4.0589 | |
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| 3.9175 | 0.03 | 1450080 | 4.0547 | |
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| 3.9141 | 1.03 | 1526400 | 4.0505 | |
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| 3.9112 | 2.03 | 1602720 | 4.0477 | |
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| 3.9007 | 0.03 | 1679040 | 4.0438 | |
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| 3.8939 | 1.03 | 1755360 | 4.0432 | |
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| 3.8858 | 0.03 | 1831680 | 4.0397 | |
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| 3.8795 | 1.03 | 1908000 | 4.0380 | |
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| 3.8776 | 0.03 | 1984320 | 4.0363 | |
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| 3.8692 | 1.03 | 2060640 | 4.0353 | |
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| 3.8658 | 0.03 | 2136960 | 4.0338 | |
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| 3.8636 | 1.03 | 2213280 | 4.0321 | |
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| 3.8603 | 0.03 | 2289600 | 4.0314 | |
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| 3.8524 | 1.03 | 2365920 | 4.0305 | |
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| 3.846 | 2.03 | 2442240 | 4.0297 | |
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| 3.8448 | 0.03 | 2518560 | 4.0285 | |
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| 3.8429 | 0.03 | 2594880 | 4.0275 | |
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| 3.8383 | 1.03 | 2671200 | 4.0271 | |
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| 3.8414 | 0.03 | 2747520 | 4.0266 | |
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| 3.8428 | 0.03 | 2823840 | 4.0259 | |
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| 3.8395 | 0.03 | 2900160 | 4.0253 | |
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| 3.8371 | 1.03 | 2976480 | 4.0248 | |
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| 3.8331 | 2.02 | 3052726 | 4.0244 | |
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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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