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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-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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# re-irr-sv-agr-lstm-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: 3.9938 |
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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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| 4.7916 | 0.03 | 76320 | 4.7805 | |
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| 4.5106 | 0.03 | 152640 | 4.5042 | |
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| 4.3687 | 1.03 | 228960 | 4.3690 | |
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| 4.282 | 0.03 | 305280 | 4.2855 | |
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| 4.2204 | 1.03 | 381600 | 4.2284 | |
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| 4.1737 | 2.03 | 457920 | 4.1873 | |
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| 4.1366 | 0.03 | 534240 | 4.1550 | |
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| 4.1015 | 0.03 | 610560 | 4.1299 | |
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| 4.0739 | 1.03 | 686880 | 4.1107 | |
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| 4.0515 | 0.03 | 763200 | 4.0948 | |
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| 4.0275 | 1.03 | 839520 | 4.0810 | |
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| 4.0138 | 0.03 | 915840 | 4.0696 | |
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| 4.0006 | 1.03 | 992160 | 4.0597 | |
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| 3.9824 | 0.03 | 1068480 | 4.0520 | |
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| 3.9684 | 0.03 | 1144800 | 4.0457 | |
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| 3.9512 | 0.03 | 1221120 | 4.0393 | |
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| 3.9369 | 1.03 | 1297440 | 4.0337 | |
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| 3.9286 | 0.03 | 1373760 | 4.0297 | |
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| 3.9193 | 1.03 | 1450080 | 4.0260 | |
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| 3.917 | 0.03 | 1526400 | 4.0221 | |
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| 3.9122 | 1.03 | 1602720 | 4.0187 | |
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| 3.9092 | 0.03 | 1679040 | 4.0155 | |
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| 3.9045 | 1.03 | 1755360 | 4.0130 | |
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| 3.8976 | 2.03 | 1831680 | 4.0111 | |
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| 3.8924 | 0.03 | 1908000 | 4.0091 | |
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| 3.8857 | 1.03 | 1984320 | 4.0067 | |
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| 3.8781 | 0.03 | 2060640 | 4.0047 | |
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| 3.8796 | 1.03 | 2136960 | 4.0034 | |
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| 3.8764 | 0.03 | 2213280 | 4.0019 | |
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| 3.8664 | 1.03 | 2289600 | 4.0009 | |
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| 3.864 | 0.03 | 2365920 | 3.9995 | |
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| 3.8539 | 1.03 | 2442240 | 3.9987 | |
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| 3.8477 | 2.03 | 2518560 | 3.9978 | |
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| 3.8437 | 0.03 | 2594880 | 3.9970 | |
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| 3.8414 | 1.03 | 2671200 | 3.9963 | |
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| 3.8445 | 0.03 | 2747520 | 3.9956 | |
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| 3.8455 | 1.03 | 2823840 | 3.9951 | |
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| 3.8477 | 0.03 | 2900160 | 3.9945 | |
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| 3.8476 | 0.03 | 2976480 | 3.9941 | |
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| 3.8431 | 1.02 | 3052726 | 3.9938 | |
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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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