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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-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-subj-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: 4.0224 |
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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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| 4.7849 | 0.03 | 76319 | 4.8022 | |
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| 4.5004 | 1.03 | 152638 | 4.5227 | |
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| 4.3599 | 0.03 | 228957 | 4.3896 | |
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| 4.2696 | 1.03 | 305276 | 4.3071 | |
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| 4.2077 | 0.03 | 381595 | 4.2521 | |
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| 4.159 | 1.03 | 457914 | 4.2115 | |
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| 4.1216 | 0.03 | 534233 | 4.1809 | |
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| 4.0933 | 1.03 | 610552 | 4.1563 | |
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| 4.0655 | 0.03 | 686871 | 4.1367 | |
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| 4.04 | 0.03 | 763190 | 4.1205 | |
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| 4.0235 | 1.03 | 839509 | 4.1073 | |
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| 3.9961 | 0.03 | 915829 | 4.0956 | |
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| 3.9757 | 1.03 | 992149 | 4.0857 | |
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| 3.9626 | 2.03 | 1068469 | 4.0777 | |
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| 3.9615 | 0.03 | 1144789 | 4.0696 | |
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| 3.95 | 1.03 | 1221109 | 4.0640 | |
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| 3.9353 | 0.03 | 1297429 | 4.0601 | |
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| 3.9269 | 1.03 | 1373749 | 4.0546 | |
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| 3.92 | 0.03 | 1450069 | 4.0511 | |
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| 3.9153 | 1.03 | 1526389 | 4.0480 | |
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| 3.9133 | 2.03 | 1602709 | 4.0449 | |
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| 3.9024 | 0.03 | 1679029 | 4.0422 | |
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| 3.8976 | 1.03 | 1755349 | 4.0404 | |
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| 3.893 | 2.03 | 1831669 | 4.0375 | |
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| 3.8841 | 0.03 | 1907989 | 4.0360 | |
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| 3.8781 | 1.03 | 1984309 | 4.0336 | |
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| 3.8733 | 0.03 | 2060629 | 4.0318 | |
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| 3.8696 | 0.03 | 2136949 | 4.0307 | |
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| 3.8654 | 1.03 | 2213269 | 4.0296 | |
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| 3.8611 | 2.03 | 2289589 | 4.0286 | |
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| 3.8572 | 0.03 | 2365909 | 4.0275 | |
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| 3.8535 | 0.03 | 2442229 | 4.0267 | |
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| 3.8476 | 0.03 | 2518549 | 4.0260 | |
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| 3.8458 | 1.03 | 2594869 | 4.0250 | |
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| 3.8425 | 0.03 | 2671189 | 4.0245 | |
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| 3.8468 | 1.03 | 2747509 | 4.0237 | |
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| 3.847 | 2.03 | 2823829 | 4.0235 | |
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| 3.8412 | 0.03 | 2900149 | 4.0230 | |
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| 3.8407 | 1.03 | 2976469 | 4.0225 | |
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| 3.8391 | 2.02 | 3052726 | 4.0224 | |
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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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