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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: det-adj-noun-transformer-4 |
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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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# det-adj-noun-transformer-4 |
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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: 3.8622 |
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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: 4 |
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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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| 4.2118 | 0.03 | 76320 | 4.1942 | |
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| 4.0104 | 1.03 | 152640 | 4.0267 | |
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| 3.9029 | 0.03 | 228960 | 3.9524 | |
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| 3.8382 | 1.03 | 305280 | 3.9109 | |
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| 3.7878 | 0.03 | 381600 | 3.8859 | |
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| 3.7506 | 1.03 | 457920 | 3.8703 | |
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| 3.7161 | 0.03 | 534240 | 3.8607 | |
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| 3.6852 | 1.03 | 610560 | 3.8536 | |
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| 3.6542 | 0.03 | 686880 | 3.8491 | |
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| 3.6276 | 0.03 | 763200 | 3.8462 | |
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| 3.6046 | 0.03 | 839520 | 3.8446 | |
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| 3.587 | 1.03 | 915840 | 3.8449 | |
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| 3.5718 | 0.03 | 992160 | 3.8450 | |
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| 3.5499 | 0.03 | 1068480 | 3.8459 | |
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| 3.5344 | 1.03 | 1144800 | 3.8458 | |
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| 3.5158 | 0.03 | 1221120 | 3.8468 | |
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| 3.4972 | 1.03 | 1297440 | 3.8480 | |
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| 3.4863 | 0.03 | 1373760 | 3.8487 | |
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| 3.4704 | 1.03 | 1450080 | 3.8510 | |
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| 3.4663 | 0.03 | 1526400 | 3.8527 | |
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| 3.4605 | 0.03 | 1602720 | 3.8529 | |
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| 3.4528 | 1.03 | 1679040 | 3.8554 | |
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| 3.4454 | 0.03 | 1755360 | 3.8565 | |
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| 3.4331 | 1.03 | 1831680 | 3.8578 | |
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| 3.4187 | 0.03 | 1908000 | 3.8578 | |
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| 3.4054 | 1.03 | 1984320 | 3.8609 | |
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| 3.3958 | 0.03 | 2060640 | 3.8603 | |
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| 3.3855 | 1.03 | 2136960 | 3.8621 | |
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| 3.3777 | 0.03 | 2213280 | 3.8636 | |
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| 3.3661 | 1.03 | 2289600 | 3.8650 | |
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| 3.3542 | 0.03 | 2365920 | 3.8647 | |
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| 3.3415 | 1.03 | 2442240 | 3.8658 | |
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| 3.3276 | 0.03 | 2518560 | 3.8661 | |
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| 3.3186 | 1.03 | 2594880 | 3.8663 | |
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| 3.3091 | 0.03 | 2671200 | 3.8661 | |
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| 3.3087 | 1.03 | 2747520 | 3.8655 | |
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| 3.3022 | 0.03 | 2823840 | 3.8666 | |
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| 3.3 | 1.03 | 2900160 | 3.8647 | |
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| 3.2955 | 0.03 | 2976480 | 3.8638 | |
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| 3.2843 | 1.02 | 3052726 | 3.8622 | |
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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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