Saving model gmra_crest-data-systems/gitlab-mr-analysis-default-model_07112024T124024
c5c98b5
verified
| library_name: transformers | |
| license: apache-2.0 | |
| base_model: crest-data-systems/gitlab-mr-analysis-default-model | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - f1 | |
| model-index: | |
| - name: gitlab-mr-analysis-default-model_07112024T124024 | |
| 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. --> | |
| # gitlab-mr-analysis-default-model_07112024T124024 | |
| This model is a fine-tuned version of [crest-data-systems/gitlab-mr-analysis-default-model](https://huggingface.co/crest-data-systems/gitlab-mr-analysis-default-model) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 1.5698 | |
| - F1: 0.5908 | |
| - 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: 500 | |
| - num_epochs: 10 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | F1 | Rate | | |
| |:-------------:|:------:|:----:|:---------------:|:------:|:------:| | |
| | No log | 0.9968 | 157 | 1.3933 | 0.4233 | 0.0000 | | |
| | No log | 2.0 | 315 | 1.1736 | 0.4818 | 0.0000 | | |
| | No log | 2.9968 | 472 | 1.0885 | 0.5673 | 0.0000 | | |
| | 1.4241 | 4.0 | 630 | 1.1164 | 0.6118 | 0.0000 | | |
| | 1.4241 | 4.9968 | 787 | 1.1692 | 0.6285 | 0.0000 | | |
| | 1.4241 | 6.0 | 945 | 1.3032 | 0.6036 | 0.0000 | | |
| | 0.6247 | 6.9968 | 1102 | 1.4004 | 0.6043 | 0.0000 | | |
| | 0.6247 | 8.0 | 1260 | 1.4752 | 0.5980 | 0.0000 | | |
| | 0.6247 | 8.9968 | 1417 | 1.5317 | 0.5985 | 0.0000 | | |
| | 0.2719 | 9.9683 | 1570 | 1.5698 | 0.5908 | 0.0 | | |
| ### Framework versions | |
| - Transformers 4.44.2 | |
| - Pytorch 2.5.1+cu124 | |
| - Datasets 3.1.0 | |
| - Tokenizers 0.19.1 | |