| --- |
| base_model: allenai/scibert_scivocab_cased |
| tags: |
| - generated_from_trainer |
| metrics: |
| - f1 |
| model-index: |
| - name: SOMD-train-scibert |
| 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. --> |
|
|
| # SOMD-train-scibert |
|
|
| This model is a fine-tuned version of [allenai/scibert_scivocab_cased](https://huggingface.co/allenai/scibert_scivocab_cased) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.0000 |
| - F1: 1.0 |
|
|
| ## 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: 256 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 20 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | F1 | |
| |:-------------:|:-----:|:-----:|:---------------:|:------:| |
| | No log | 1.0 | 1243 | 0.0053 | 0.7304 | |
| | No log | 2.0 | 2486 | 0.0029 | 0.8024 | |
| | No log | 3.0 | 3729 | 0.0017 | 0.8700 | |
| | No log | 4.0 | 4972 | 0.0011 | 0.9302 | |
| | No log | 5.0 | 6215 | 0.0010 | 0.9305 | |
| | No log | 6.0 | 7458 | 0.0008 | 0.9545 | |
| | No log | 7.0 | 8701 | 0.0007 | 0.9629 | |
| | No log | 8.0 | 9944 | 0.0004 | 0.9698 | |
| | No log | 9.0 | 11187 | 0.0002 | 0.9854 | |
| | No log | 10.0 | 12430 | 0.0002 | 0.9871 | |
| | No log | 11.0 | 13673 | 0.0002 | 0.9934 | |
| | No log | 12.0 | 14916 | 0.0001 | 0.9898 | |
| | No log | 13.0 | 16159 | 0.0000 | 0.9985 | |
| | No log | 14.0 | 17402 | 0.0001 | 0.9940 | |
| | No log | 15.0 | 18645 | 0.0000 | 0.9986 | |
| | No log | 16.0 | 19888 | 0.0000 | 0.9966 | |
| | No log | 17.0 | 21131 | 0.0000 | 0.9994 | |
| | No log | 18.0 | 22374 | 0.0000 | 1.0 | |
| | No log | 19.0 | 23617 | 0.0000 | 1.0 | |
| | No log | 20.0 | 24860 | 0.0000 | 1.0 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.37.0 |
| - Pytorch 2.1.2 |
| - Datasets 2.1.0 |
| - Tokenizers 0.15.1 |
|
|
