| --- |
| base_model: MikeGreen2710/mlm_listing_1.79 |
| tags: |
| - generated_from_trainer |
| metrics: |
| - f1 |
| model-index: |
| - name: training_with_callbacks |
| 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. --> |
|
|
| [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/ommlops/huggingface/runs/pktpgp7v) |
| # training_with_callbacks |
|
|
| This model is a fine-tuned version of [MikeGreen2710/mlm_listing_1.79](https://huggingface.co/MikeGreen2710/mlm_listing_1.79) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.7291 |
| - F1: 0.9208 |
|
|
| ## 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: 2e-05 |
| - train_batch_size: 24 |
| - eval_batch_size: 12 |
| - 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 | |
| |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | 0.3171 | 1.0 | 450 | 0.2395 | 0.9020 | |
| | 0.1889 | 2.0 | 900 | 0.2344 | 0.9135 | |
| | 0.1356 | 3.0 | 1350 | 0.3104 | 0.8986 | |
| | 0.0919 | 4.0 | 1800 | 0.3622 | 0.9101 | |
| | 0.0553 | 5.0 | 2250 | 0.4539 | 0.9085 | |
| | 0.0347 | 6.0 | 2700 | 0.4787 | 0.9132 | |
| | 0.0221 | 7.0 | 3150 | 0.5269 | 0.9084 | |
| | 0.0113 | 8.0 | 3600 | 0.5861 | 0.9150 | |
| | 0.016 | 9.0 | 4050 | 0.6784 | 0.9098 | |
| | 0.0079 | 10.0 | 4500 | 0.6497 | 0.9200 | |
| | 0.005 | 11.0 | 4950 | 0.7084 | 0.9140 | |
| | 0.0074 | 12.0 | 5400 | 0.7291 | 0.9208 | |
| | 0.0061 | 13.0 | 5850 | 0.7240 | 0.9174 | |
| | 0.0053 | 14.0 | 6300 | 0.7493 | 0.9149 | |
| | 0.004 | 15.0 | 6750 | 0.8256 | 0.9106 | |
| | 0.0035 | 16.0 | 7200 | 0.7821 | 0.9158 | |
| | 0.0054 | 17.0 | 7650 | 0.8016 | 0.9148 | |
| | 0.0005 | 18.0 | 8100 | 0.8021 | 0.9166 | |
| | 0.0012 | 19.0 | 8550 | 0.8046 | 0.9182 | |
| | 0.002 | 20.0 | 9000 | 0.8045 | 0.9191 | |
|
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|
| ### Framework versions |
|
|
| - Transformers 4.42.4 |
| - Pytorch 2.3.0+cu121 |
| - Datasets 2.20.0 |
| - Tokenizers 0.19.1 |
|
|
