| --- |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: binding-c-command-lstm-4 |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # binding-c-command-lstm-4 |
|
|
| This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 3.9687 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 5e-05 |
| - train_batch_size: 32 |
| - eval_batch_size: 32 |
| - seed: 4 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - training_steps: 3052726 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:-------:|:---------------:| |
| | 4.7856 | 0.03 | 76320 | 4.7511 | |
| | 4.4985 | 1.03 | 152640 | 4.4704 | |
| | 4.3544 | 0.03 | 228960 | 4.3357 | |
| | 4.2708 | 1.03 | 305280 | 4.2525 | |
| | 4.2053 | 0.03 | 381600 | 4.1959 | |
| | 4.1611 | 1.03 | 457920 | 4.1555 | |
| | 4.1268 | 0.03 | 534240 | 4.1252 | |
| | 4.095 | 1.03 | 610560 | 4.1008 | |
| | 4.065 | 0.03 | 686880 | 4.0814 | |
| | 4.0414 | 1.03 | 763200 | 4.0668 | |
| | 4.0161 | 0.03 | 839520 | 4.0543 | |
| | 4.0017 | 1.03 | 915840 | 4.0434 | |
| | 3.9845 | 0.03 | 992160 | 4.0340 | |
| | 3.965 | 1.03 | 1068480 | 4.0263 | |
| | 3.9529 | 0.03 | 1144800 | 4.0194 | |
| | 3.9447 | 1.03 | 1221120 | 4.0126 | |
| | 3.9305 | 0.03 | 1297440 | 4.0084 | |
| | 3.9213 | 1.03 | 1373760 | 4.0040 | |
| | 3.9105 | 0.03 | 1450080 | 4.0001 | |
| | 3.9091 | 1.03 | 1526400 | 3.9960 | |
| | 3.9015 | 0.03 | 1602720 | 3.9935 | |
| | 3.8989 | 1.03 | 1679040 | 3.9909 | |
| | 3.8955 | 0.03 | 1755360 | 3.9881 | |
| | 3.8936 | 1.03 | 1831680 | 3.9862 | |
| | 3.8824 | 0.03 | 1908000 | 3.9842 | |
| | 3.8737 | 1.03 | 1984320 | 3.9818 | |
| | 3.8655 | 0.03 | 2060640 | 3.9800 | |
| | 3.8649 | 1.03 | 2136960 | 3.9790 | |
| | 3.8601 | 0.03 | 2213280 | 3.9775 | |
| | 3.852 | 1.03 | 2289600 | 3.9766 | |
| | 3.845 | 0.03 | 2365920 | 3.9753 | |
| | 3.8457 | 1.03 | 2442240 | 3.9744 | |
| | 3.8399 | 0.03 | 2518560 | 3.9734 | |
| | 3.8385 | 1.03 | 2594880 | 3.9727 | |
| | 3.8308 | 0.03 | 2671200 | 3.9718 | |
| | 3.8376 | 1.03 | 2747520 | 3.9709 | |
| | 3.8319 | 0.03 | 2823840 | 3.9702 | |
| | 3.8359 | 1.03 | 2900160 | 3.9696 | |
| | 3.8381 | 0.03 | 2976480 | 3.9691 | |
| | 3.8358 | 1.02 | 3052726 | 3.9687 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.33.3 |
| - Pytorch 2.0.1 |
| - Datasets 2.12.0 |
| - Tokenizers 0.13.3 |
|
|
