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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: full-lstm-2 |
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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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# full-lstm-2 |
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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: 3.9716 |
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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: 2 |
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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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| 4.7917 | 0.03 | 76319 | 4.7567 | |
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| 4.5064 | 1.03 | 152638 | 4.4756 | |
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| 4.3631 | 0.03 | 228957 | 4.3407 | |
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| 4.2711 | 1.03 | 305276 | 4.2578 | |
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| 4.2077 | 0.03 | 381595 | 4.2014 | |
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| 4.157 | 1.03 | 457914 | 4.1600 | |
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| 4.1224 | 0.03 | 534233 | 4.1296 | |
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| 4.0928 | 0.03 | 610552 | 4.1052 | |
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| 4.0627 | 1.03 | 686871 | 4.0866 | |
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| 4.0409 | 0.03 | 763190 | 4.0706 | |
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| 4.0209 | 1.03 | 839509 | 4.0576 | |
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| 4.0041 | 0.03 | 915828 | 4.0470 | |
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| 3.9838 | 0.03 | 992147 | 4.0377 | |
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| 3.9707 | 0.03 | 1068467 | 4.0283 | |
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| 3.96 | 1.03 | 1144787 | 4.0217 | |
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| 3.9578 | 0.03 | 1221107 | 4.0144 | |
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| 3.9374 | 1.03 | 1297427 | 4.0091 | |
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| 3.9288 | 0.03 | 1373747 | 4.0045 | |
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| 3.9178 | 1.03 | 1450067 | 4.0008 | |
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| 3.9111 | 0.03 | 1526387 | 3.9972 | |
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| 3.9123 | 1.03 | 1602707 | 3.9945 | |
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| 3.9072 | 0.03 | 1679027 | 3.9921 | |
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| 3.9062 | 1.03 | 1755347 | 3.9889 | |
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| 3.9022 | 0.03 | 1831667 | 3.9870 | |
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| 3.8944 | 0.03 | 1907987 | 3.9850 | |
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| 3.8882 | 1.03 | 1984307 | 3.9836 | |
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| 3.883 | 0.03 | 2060627 | 3.9817 | |
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| 3.8755 | 1.03 | 2136947 | 3.9808 | |
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| 3.8735 | 0.03 | 2213267 | 3.9796 | |
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| 3.8684 | 1.03 | 2289587 | 3.9782 | |
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| 3.86 | 0.03 | 2365907 | 3.9773 | |
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| 3.8611 | 1.03 | 2442227 | 3.9764 | |
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| 3.8488 | 0.03 | 2518547 | 3.9757 | |
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| 3.8468 | 1.03 | 2594867 | 3.9747 | |
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| 3.8413 | 0.03 | 2671187 | 3.9741 | |
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| 3.8399 | 0.03 | 2747507 | 3.9734 | |
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| 3.845 | 1.03 | 2823827 | 3.9730 | |
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| 3.8433 | 0.03 | 2900147 | 3.9724 | |
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| 3.8469 | 1.03 | 2976467 | 3.9720 | |
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| 3.8461 | 0.02 | 3052726 | 3.9716 | |
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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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