| --- |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: full2-transformer-0 |
| 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. --> |
|
|
| # full2-transformer-0 |
|
|
| 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: 3.8599 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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|
| The following hyperparameters were used during training: |
| - learning_rate: 5e-05 |
| - train_batch_size: 32 |
| - eval_batch_size: 32 |
| - seed: 0 |
| - 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 | |
| |:-------------:|:-----:|:-------:|:---------------:| |
| | 4.2278 | 0.03 | 76320 | 4.1982 | |
| | 4.022 | 1.03 | 152640 | 4.0277 | |
| | 3.9114 | 0.03 | 228960 | 3.9531 | |
| | 3.8457 | 1.03 | 305280 | 3.9114 | |
| | 3.7937 | 0.03 | 381600 | 3.8858 | |
| | 3.754 | 0.03 | 457920 | 3.8699 | |
| | 3.7241 | 1.03 | 534240 | 3.8603 | |
| | 3.6953 | 0.03 | 610560 | 3.8520 | |
| | 3.6648 | 1.03 | 686880 | 3.8463 | |
| | 3.6391 | 0.03 | 763200 | 3.8440 | |
| | 3.6181 | 1.03 | 839520 | 3.8425 | |
| | 3.5968 | 0.03 | 915840 | 3.8439 | |
| | 3.5813 | 1.03 | 992160 | 3.8418 | |
| | 3.5607 | 0.03 | 1068480 | 3.8427 | |
| | 3.5409 | 1.03 | 1144800 | 3.8433 | |
| | 3.5305 | 0.03 | 1221120 | 3.8444 | |
| | 3.5122 | 1.03 | 1297440 | 3.8448 | |
| | 3.4994 | 0.03 | 1373760 | 3.8457 | |
| | 3.4845 | 1.03 | 1450080 | 3.8475 | |
| | 3.4776 | 0.03 | 1526400 | 3.8493 | |
| | 3.4657 | 1.03 | 1602720 | 3.8507 | |
| | 3.4584 | 0.03 | 1679040 | 3.8513 | |
| | 3.4537 | 1.03 | 1755360 | 3.8522 | |
| | 3.4416 | 0.03 | 1831680 | 3.8545 | |
| | 3.4273 | 0.03 | 1908000 | 3.8565 | |
| | 3.4147 | 1.03 | 1984320 | 3.8564 | |
| | 3.4051 | 0.03 | 2060640 | 3.8578 | |
| | 3.3912 | 1.03 | 2136960 | 3.8585 | |
| | 3.3848 | 0.03 | 2213280 | 3.8590 | |
| | 3.3723 | 1.03 | 2289600 | 3.8598 | |
| | 3.3586 | 0.03 | 2365920 | 3.8602 | |
| | 3.3545 | 1.03 | 2442240 | 3.8610 | |
| | 3.3408 | 0.03 | 2518560 | 3.8615 | |
| | 3.3335 | 1.03 | 2594880 | 3.8624 | |
| | 3.3191 | 0.03 | 2671200 | 3.8620 | |
| | 3.3152 | 1.03 | 2747520 | 3.8622 | |
| | 3.3084 | 0.03 | 2823840 | 3.8619 | |
| | 3.3053 | 1.03 | 2900160 | 3.8617 | |
| | 3.3031 | 0.03 | 2976480 | 3.8612 | |
| | 3.2954 | 1.02 | 3052726 | 3.8599 | |
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| ### Framework versions |
|
|
| - Transformers 4.33.3 |
| - Pytorch 2.0.1 |
| - Datasets 2.12.0 |
| - Tokenizers 0.13.3 |
|
|
