| | --- |
| | 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_07112024T123200 |
| | 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_07112024T123200 |
| | |
| | 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: 2.1618 |
| | - F1: 0.6102 |
| | - 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: 20 |
| | - mixed_precision_training: Native AMP |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | F1 | Rate | |
| | |:-------------:|:-------:|:----:|:---------------:|:------:|:------:| |
| | | No log | 0.9943 | 87 | 3.4729 | 0.1512 | 0.0000 | |
| | | No log | 2.0 | 175 | 1.5854 | 0.2612 | 7e-06 | |
| | | No log | 2.9943 | 262 | 1.3071 | 0.5194 | 0.0000 | |
| | | No log | 4.0 | 350 | 1.1987 | 0.5696 | 0.0000 | |
| | | No log | 4.9943 | 437 | 1.1969 | 0.5988 | 0.0000 | |
| | | 1.988 | 6.0 | 525 | 1.2367 | 0.6025 | 0.0000 | |
| | | 1.988 | 6.9943 | 612 | 1.2985 | 0.6065 | 0.0000 | |
| | | 1.988 | 8.0 | 700 | 1.3981 | 0.6012 | 0.0000 | |
| | | 1.988 | 8.9943 | 787 | 1.4878 | 0.6025 | 0.0000 | |
| | | 1.988 | 10.0 | 875 | 1.6375 | 0.6039 | 0.0000 | |
| | | 1.988 | 10.9943 | 962 | 1.6594 | 0.6116 | 0.0000 | |
| | | 0.3297 | 12.0 | 1050 | 1.7861 | 0.6165 | 0.0000 | |
| | | 0.3297 | 12.9943 | 1137 | 1.8770 | 0.6306 | 0.0000 | |
| | | 0.3297 | 14.0 | 1225 | 1.9764 | 0.6021 | 0.0000 | |
| | | 0.3297 | 14.9943 | 1312 | 2.0507 | 0.6134 | 0.0000 | |
| | | 0.3297 | 16.0 | 1400 | 2.1181 | 0.6007 | 0.0000 | |
| | | 0.3297 | 16.9943 | 1487 | 2.1135 | 0.6063 | 0.0000 | |
| | | 0.0529 | 18.0 | 1575 | 2.1483 | 0.6024 | 0.0000 | |
| | | 0.0529 | 18.9943 | 1662 | 2.1560 | 0.6138 | 0.0000 | |
| | | 0.0529 | 19.8857 | 1740 | 2.1618 | 0.6102 | 0.0 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.44.2 |
| | - Pytorch 2.5.1+cu124 |
| | - Datasets 3.1.0 |
| | - Tokenizers 0.19.1 |
| | |
