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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: re-irr-sv-agr-lstm-3 |
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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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# re-irr-sv-agr-lstm-3 |
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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: 3.9915 |
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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: 3 |
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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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| 4.7907 | 0.03 | 76320 | 4.7798 | |
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| 4.5038 | 1.03 | 152640 | 4.4972 | |
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| 4.363 | 2.03 | 228960 | 4.3638 | |
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| 4.2777 | 0.03 | 305280 | 4.2803 | |
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| 4.2145 | 1.03 | 381600 | 4.2236 | |
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| 4.1703 | 2.03 | 457920 | 4.1822 | |
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| 4.133 | 0.03 | 534240 | 4.1512 | |
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| 4.0977 | 1.03 | 610560 | 4.1264 | |
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| 4.0708 | 2.03 | 686880 | 4.1068 | |
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| 4.0454 | 0.03 | 763200 | 4.0905 | |
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| 4.0224 | 1.03 | 839520 | 4.0775 | |
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| 4.01 | 0.03 | 915840 | 4.0666 | |
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| 3.996 | 1.03 | 992160 | 4.0564 | |
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| 3.9765 | 0.03 | 1068480 | 4.0495 | |
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| 3.9628 | 1.03 | 1144800 | 4.0427 | |
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| 3.946 | 0.03 | 1221120 | 4.0360 | |
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| 3.9308 | 0.03 | 1297440 | 4.0311 | |
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| 3.9241 | 1.03 | 1373760 | 4.0266 | |
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| 3.9126 | 2.03 | 1450080 | 4.0231 | |
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| 3.9133 | 0.03 | 1526400 | 4.0196 | |
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| 3.9074 | 1.03 | 1602720 | 4.0172 | |
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| 3.9082 | 0.03 | 1679040 | 4.0140 | |
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| 3.9023 | 1.03 | 1755360 | 4.0115 | |
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| 3.8936 | 0.03 | 1831680 | 4.0096 | |
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| 3.886 | 1.03 | 1908000 | 4.0071 | |
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| 3.8806 | 0.03 | 1984320 | 4.0050 | |
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| 3.8726 | 1.03 | 2060640 | 4.0030 | |
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| 3.8738 | 2.03 | 2136960 | 4.0020 | |
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| 3.8718 | 0.03 | 2213280 | 4.0006 | |
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| 3.8638 | 1.03 | 2289600 | 3.9990 | |
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| 3.8573 | 2.03 | 2365920 | 3.9973 | |
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| 3.8484 | 0.03 | 2442240 | 3.9964 | |
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| 3.8425 | 1.03 | 2518560 | 3.9954 | |
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| 3.8384 | 0.03 | 2594880 | 3.9946 | |
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| 3.8355 | 1.03 | 2671200 | 3.9941 | |
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| 3.8391 | 2.03 | 2747520 | 3.9933 | |
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| 3.8404 | 0.03 | 2823840 | 3.9928 | |
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| 3.8431 | 1.03 | 2900160 | 3.9923 | |
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| 3.843 | 0.03 | 2976480 | 3.9919 | |
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| 3.8394 | 1.02 | 3052726 | 3.9915 | |
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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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