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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-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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# pp-mod-subj2-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: 3.9272 |
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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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| 4.23 | 0.03 | 76320 | 4.2438 | |
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| 4.0263 | 1.03 | 152640 | 4.0737 | |
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| 3.9157 | 0.03 | 228960 | 4.0002 | |
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| 3.8485 | 1.03 | 305280 | 3.9594 | |
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| 3.8001 | 0.03 | 381600 | 3.9341 | |
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| 3.7527 | 1.03 | 457920 | 3.9196 | |
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| 3.7166 | 0.03 | 534240 | 3.9100 | |
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| 3.6843 | 1.03 | 610560 | 3.9041 | |
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| 3.6545 | 0.03 | 686880 | 3.8987 | |
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| 3.6331 | 0.03 | 763200 | 3.8965 | |
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| 3.6082 | 1.03 | 839520 | 3.8966 | |
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| 3.5866 | 0.03 | 915840 | 3.8960 | |
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| 3.5697 | 1.03 | 992160 | 3.8969 | |
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| 3.5533 | 0.03 | 1068480 | 3.8981 | |
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| 3.5345 | 1.03 | 1144800 | 3.8997 | |
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| 3.5217 | 0.03 | 1221120 | 3.9007 | |
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| 3.5078 | 1.03 | 1297440 | 3.9027 | |
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| 3.4974 | 0.03 | 1373760 | 3.9055 | |
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| 3.4829 | 0.03 | 1450080 | 3.9071 | |
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| 3.4733 | 1.03 | 1526400 | 3.9077 | |
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| 3.4673 | 0.03 | 1602720 | 3.9100 | |
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| 3.4523 | 1.03 | 1679040 | 3.9129 | |
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| 3.4403 | 0.03 | 1755360 | 3.9159 | |
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| 3.429 | 1.03 | 1831680 | 3.9174 | |
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| 3.414 | 0.03 | 1908000 | 3.9203 | |
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| 3.4064 | 1.03 | 1984320 | 3.9213 | |
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| 3.3913 | 0.03 | 2060640 | 3.9235 | |
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| 3.3795 | 0.03 | 2136960 | 3.9254 | |
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| 3.3707 | 1.03 | 2213280 | 3.9252 | |
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| 3.3603 | 0.03 | 2289600 | 3.9274 | |
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| 3.3471 | 1.03 | 2365920 | 3.9272 | |
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| 3.344 | 0.03 | 2442240 | 3.9295 | |
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| 3.3336 | 1.03 | 2518560 | 3.9303 | |
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| 3.3269 | 0.03 | 2594880 | 3.9306 | |
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| 3.315 | 1.03 | 2671200 | 3.9309 | |
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| 3.3104 | 0.03 | 2747520 | 3.9305 | |
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| 3.3066 | 1.03 | 2823840 | 3.9312 | |
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| 3.2963 | 0.03 | 2900160 | 3.9298 | |
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| 3.2876 | 0.03 | 2976480 | 3.9290 | |
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| 3.2804 | 1.02 | 3052726 | 3.9272 | |
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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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