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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-noun-transformer-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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# det-noun-transformer-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: 3.8633 |
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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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| 4.2292 | 0.03 | 76320 | 4.1964 | |
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| 4.0231 | 1.03 | 152640 | 4.0266 | |
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| 3.9118 | 0.03 | 228960 | 3.9521 | |
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| 3.8436 | 0.03 | 305280 | 3.9110 | |
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| 3.7942 | 0.03 | 381600 | 3.8862 | |
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| 3.7539 | 1.03 | 457920 | 3.8700 | |
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| 3.7196 | 0.03 | 534240 | 3.8595 | |
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| 3.6867 | 1.03 | 610560 | 3.8529 | |
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| 3.6581 | 0.03 | 686880 | 3.8472 | |
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| 3.6307 | 1.03 | 763200 | 3.8468 | |
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| 3.6102 | 0.03 | 839520 | 3.8452 | |
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| 3.5881 | 1.03 | 915840 | 3.8435 | |
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| 3.5698 | 0.03 | 992160 | 3.8436 | |
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| 3.5469 | 1.03 | 1068480 | 3.8442 | |
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| 3.534 | 0.03 | 1144800 | 3.8449 | |
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| 3.5276 | 1.03 | 1221120 | 3.8466 | |
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| 3.5109 | 0.03 | 1297440 | 3.8462 | |
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| 3.4955 | 1.03 | 1373760 | 3.8491 | |
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| 3.4793 | 0.03 | 1450080 | 3.8501 | |
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| 3.4726 | 1.03 | 1526400 | 3.8517 | |
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| 3.467 | 0.03 | 1602720 | 3.8534 | |
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| 3.4575 | 1.03 | 1679040 | 3.8548 | |
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| 3.4476 | 0.03 | 1755360 | 3.8552 | |
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| 3.434 | 1.03 | 1831680 | 3.8573 | |
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| 3.421 | 0.03 | 1908000 | 3.8585 | |
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| 3.4096 | 1.03 | 1984320 | 3.8589 | |
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| 3.3989 | 0.03 | 2060640 | 3.8613 | |
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| 3.3901 | 1.03 | 2136960 | 3.8618 | |
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| 3.3776 | 0.03 | 2213280 | 3.8633 | |
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| 3.3624 | 1.03 | 2289600 | 3.8633 | |
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| 3.3544 | 0.03 | 2365920 | 3.8651 | |
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| 3.3519 | 1.03 | 2442240 | 3.8644 | |
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| 3.3423 | 0.03 | 2518560 | 3.8657 | |
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| 3.3295 | 1.03 | 2594880 | 3.8652 | |
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| 3.3192 | 0.03 | 2671200 | 3.8660 | |
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| 3.3124 | 1.03 | 2747520 | 3.8660 | |
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| 3.312 | 0.03 | 2823840 | 3.8658 | |
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| 3.3046 | 0.03 | 2900160 | 3.8652 | |
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| 3.2992 | 1.03 | 2976480 | 3.8642 | |
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| 3.2886 | 0.02 | 3052726 | 3.8633 | |
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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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