Samaksh Khatri
Saving model gmra_distilbert/distilbert-base-uncased-distilled-squad_07112024T113312
eb8d501
verified
| library_name: transformers | |
| license: apache-2.0 | |
| base_model: distilbert/distilbert-base-uncased-distilled-squad | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - f1 | |
| model-index: | |
| - name: distilbert-base-uncased-distilled-squad_07112024T113312 | |
| 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-distilled-squad_07112024T113312 | |
| This model is a fine-tuned version of [distilbert/distilbert-base-uncased-distilled-squad](https://huggingface.co/distilbert/distilbert-base-uncased-distilled-squad) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.8186 | |
| - F1: 0.7804 | |
| - 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: linear | |
| - lr_scheduler_warmup_steps: 10 | |
| - num_epochs: 10 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | F1 | Rate | | |
| |:-------------:|:-----:|:----:|:---------------:|:------:|:------:| | |
| | No log | 1.0 | 121 | 1.1959 | 0.5325 | 0.0000 | | |
| | No log | 2.0 | 242 | 1.0212 | 0.6350 | 0.0000 | | |
| | No log | 3.0 | 363 | 0.9424 | 0.6796 | 0.0000 | | |
| | No log | 4.0 | 484 | 0.8570 | 0.7203 | 0.0000 | | |
| | 1.0311 | 5.0 | 605 | 0.8567 | 0.7359 | 0.0000 | | |
| | 1.0311 | 6.0 | 726 | 0.8271 | 0.7530 | 0.0000 | | |
| | 1.0311 | 7.0 | 847 | 0.8387 | 0.7629 | 0.0000 | | |
| | 1.0311 | 8.0 | 968 | 0.8491 | 0.7690 | 0.0000 | | |
| | 0.4626 | 9.0 | 1089 | 0.7954 | 0.7809 | 2e-06 | | |
| | 0.4626 | 10.0 | 1210 | 0.8186 | 0.7804 | 0.0 | | |
| ### Framework versions | |
| - Transformers 4.44.2 | |
| - Pytorch 2.5.1+cu124 | |
| - Datasets 3.1.0 | |
| - Tokenizers 0.19.1 | |