Samaksh Khatri
Saving model gmra_distilbert/distilbert-base-uncased-finetuned-sst-2-english_07112024T125645
192fe03
verified
| library_name: transformers | |
| license: apache-2.0 | |
| base_model: distilbert/distilbert-base-uncased-finetuned-sst-2-english | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - f1 | |
| model-index: | |
| - name: distilbert-base-uncased-finetuned-sst-2-english_07112024T125645 | |
| 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. --> | |
| # distilbert-base-uncased-finetuned-sst-2-english_07112024T125645 | |
| This model is a fine-tuned version of [distilbert/distilbert-base-uncased-finetuned-sst-2-english](https://huggingface.co/distilbert/distilbert-base-uncased-finetuned-sst-2-english) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.5776 | |
| - F1: 0.8426 | |
| - Learning Rate: 0.0 | |
| ## 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: 2e-05 | |
| - train_batch_size: 8 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - gradient_accumulation_steps: 4 | |
| - total_train_batch_size: 32 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: cosine | |
| - lr_scheduler_warmup_steps: 10 | |
| - num_epochs: 20 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | F1 | Rate | | |
| |:-------------:|:-----:|:----:|:---------------:|:------:|:------:| | |
| | No log | 1.0 | 141 | 1.1776 | 0.5721 | 0.0000 | | |
| | No log | 2.0 | 282 | 0.9785 | 0.6619 | 0.0000 | | |
| | No log | 3.0 | 423 | 0.8326 | 0.7194 | 0.0000 | | |
| | 1.1084 | 4.0 | 564 | 0.6920 | 0.7808 | 0.0000 | | |
| | 1.1084 | 5.0 | 705 | 0.6907 | 0.7973 | 0.0000 | | |
| | 1.1084 | 6.0 | 846 | 0.6107 | 0.8284 | 0.0000 | | |
| | 1.1084 | 7.0 | 987 | 0.5776 | 0.8426 | 0.0000 | | |
| | 0.4572 | 8.0 | 1128 | 0.6100 | 0.8523 | 0.0000 | | |
| | 0.4572 | 9.0 | 1269 | 0.6279 | 0.8570 | 0.0000 | | |
| | 0.4572 | 10.0 | 1410 | 0.6638 | 0.8587 | 0.0000 | | |
| | 0.1637 | 11.0 | 1551 | 0.7340 | 0.8568 | 0.0000 | | |
| | 0.1637 | 12.0 | 1692 | 0.7564 | 0.8596 | 7e-06 | | |
| | 0.1637 | 13.0 | 1833 | 0.8077 | 0.8568 | 0.0000 | | |
| | 0.1637 | 14.0 | 1974 | 0.7234 | 0.8667 | 0.0000 | | |
| | 0.069 | 15.0 | 2115 | 0.7535 | 0.8664 | 3e-06 | | |
| | 0.069 | 16.0 | 2256 | 0.7818 | 0.8659 | 0.0000 | | |
| | 0.069 | 17.0 | 2397 | 0.8064 | 0.8646 | 0.0000 | | |
| | 0.0376 | 18.0 | 2538 | 0.8203 | 0.8626 | 5e-07 | | |
| | 0.0376 | 19.0 | 2679 | 0.8233 | 0.8629 | 1e-07 | | |
| | 0.0376 | 20.0 | 2820 | 0.8235 | 0.8632 | 0.0 | | |
| ### Framework versions | |
| - Transformers 4.44.2 | |
| - Pytorch 2.5.1+cu124 | |
| - Datasets 3.1.0 | |
| - Tokenizers 0.19.1 | |