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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-subj-lstm-0 |
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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-subj-lstm-0 |
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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: 4.0221 |
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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: 0 |
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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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| 4.7923 | 0.03 | 76319 | 4.8102 | |
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| 4.5063 | 1.03 | 152638 | 4.5307 | |
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| 4.365 | 0.03 | 228957 | 4.3961 | |
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| 4.2747 | 1.03 | 305276 | 4.3126 | |
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| 4.212 | 0.03 | 381595 | 4.2551 | |
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| 4.1642 | 1.03 | 457914 | 4.2132 | |
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| 4.1266 | 0.03 | 534233 | 4.1807 | |
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| 4.0965 | 1.03 | 610552 | 4.1574 | |
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| 4.0676 | 0.03 | 686871 | 4.1386 | |
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| 4.0454 | 1.03 | 763190 | 4.1230 | |
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| 4.0256 | 0.03 | 839509 | 4.1096 | |
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| 4.0096 | 0.03 | 915828 | 4.0983 | |
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| 3.9875 | 1.03 | 992147 | 4.0892 | |
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| 3.9708 | 0.03 | 1068466 | 4.0805 | |
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| 3.9619 | 1.03 | 1144785 | 4.0743 | |
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| 3.9492 | 0.03 | 1221104 | 4.0677 | |
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| 3.9395 | 1.03 | 1297423 | 4.0635 | |
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| 3.9333 | 0.03 | 1373743 | 4.0583 | |
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| 3.9224 | 1.03 | 1450063 | 4.0539 | |
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| 3.9179 | 0.03 | 1526383 | 4.0510 | |
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| 3.9137 | 1.03 | 1602703 | 4.0476 | |
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| 3.9059 | 2.03 | 1679023 | 4.0453 | |
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| 3.8991 | 0.03 | 1755343 | 4.0420 | |
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| 3.8915 | 1.03 | 1831663 | 4.0406 | |
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| 3.8835 | 2.03 | 1907983 | 4.0377 | |
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| 3.88 | 0.03 | 1984303 | 4.0361 | |
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| 3.8762 | 1.03 | 2060623 | 4.0347 | |
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| 3.8699 | 0.03 | 2136943 | 4.0329 | |
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| 3.8691 | 0.03 | 2213263 | 4.0315 | |
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| 3.8616 | 1.03 | 2289583 | 4.0305 | |
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| 3.8593 | 0.03 | 2365903 | 4.0288 | |
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| 3.8529 | 1.03 | 2442223 | 4.0275 | |
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| 3.8463 | 0.03 | 2518543 | 4.0265 | |
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| 3.845 | 1.03 | 2594863 | 4.0255 | |
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| 3.8398 | 0.03 | 2671183 | 4.0249 | |
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| 3.8416 | 1.03 | 2747503 | 4.0241 | |
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| 3.8438 | 2.03 | 2823823 | 4.0235 | |
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| 3.8409 | 0.03 | 2900143 | 4.0229 | |
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| 3.8403 | 1.03 | 2976463 | 4.0227 | |
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| 3.8357 | 2.02 | 3052726 | 4.0221 | |
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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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