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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: npi-sent-neg-lstm-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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# npi-sent-neg-lstm-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: 3.9701 |
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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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| 4.7883 | 0.03 | 76320 | 4.7537 | |
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| 4.5088 | 1.03 | 152640 | 4.4753 | |
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| 4.3647 | 0.03 | 228960 | 4.3413 | |
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| 4.2824 | 1.03 | 305280 | 4.2585 | |
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| 4.2205 | 0.03 | 381600 | 4.2020 | |
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| 4.174 | 1.03 | 457920 | 4.1605 | |
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| 4.137 | 0.03 | 534240 | 4.1297 | |
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| 4.1041 | 1.03 | 610560 | 4.1052 | |
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| 4.0763 | 0.03 | 686880 | 4.0858 | |
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| 4.0498 | 1.03 | 763200 | 4.0700 | |
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| 4.0274 | 0.03 | 839520 | 4.0568 | |
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| 4.0103 | 1.03 | 915840 | 4.0457 | |
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| 3.9939 | 0.03 | 992160 | 4.0371 | |
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| 3.9743 | 1.03 | 1068480 | 4.0290 | |
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| 3.9629 | 0.03 | 1144800 | 4.0221 | |
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| 3.9522 | 1.03 | 1221120 | 4.0161 | |
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| 3.9413 | 0.03 | 1297440 | 4.0110 | |
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| 3.9311 | 1.03 | 1373760 | 4.0061 | |
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| 3.9173 | 0.03 | 1450080 | 4.0017 | |
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| 3.9193 | 1.03 | 1526400 | 3.9984 | |
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| 3.915 | 0.03 | 1602720 | 3.9950 | |
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| 3.9106 | 0.03 | 1679040 | 3.9924 | |
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| 3.9078 | 1.03 | 1755360 | 3.9899 | |
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| 3.9025 | 0.03 | 1831680 | 3.9875 | |
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| 3.8921 | 1.03 | 1908000 | 3.9853 | |
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| 3.8835 | 0.03 | 1984320 | 3.9830 | |
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| 3.8781 | 1.03 | 2060640 | 3.9807 | |
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| 3.8727 | 0.03 | 2136960 | 3.9793 | |
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| 3.8668 | 1.03 | 2213280 | 3.9784 | |
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| 3.8576 | 0.03 | 2289600 | 3.9774 | |
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| 3.8531 | 1.03 | 2365920 | 3.9759 | |
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| 3.8521 | 0.03 | 2442240 | 3.9750 | |
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| 3.849 | 1.03 | 2518560 | 3.9738 | |
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| 3.8478 | 0.03 | 2594880 | 3.9727 | |
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| 3.8397 | 1.03 | 2671200 | 3.9721 | |
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| 3.8471 | 0.03 | 2747520 | 3.9714 | |
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| 3.847 | 1.03 | 2823840 | 3.9709 | |
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| 3.8492 | 0.03 | 2900160 | 3.9707 | |
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| 3.851 | 1.03 | 2976480 | 3.9702 | |
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| 3.8478 | 0.02 | 3052726 | 3.9701 | |
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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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