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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: crest-data-systems/gitlab-mr-analysis-default-model |
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tags: |
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- generated_from_trainer |
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metrics: |
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- f1 |
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model-index: |
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- name: gitlab-mr-analysis-default-model_07112024T172947 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# gitlab-mr-analysis-default-model_07112024T172947 |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.9438 |
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- F1: 0.5876 |
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- Learning Rate: 0.0 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 32 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 15 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | Rate | |
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|:-------------:|:-------:|:----:|:---------------:|:------:|:------:| |
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| No log | 0.9943 | 87 | 3.5342 | 0.1406 | 0.0000 | |
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| No log | 2.0 | 175 | 1.5958 | 0.2582 | 7e-06 | |
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| No log | 2.9943 | 262 | 1.2511 | 0.5414 | 0.0000 | |
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| No log | 4.0 | 350 | 1.1763 | 0.5725 | 0.0000 | |
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| No log | 4.9943 | 437 | 1.1890 | 0.5848 | 0.0000 | |
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| 1.9832 | 6.0 | 525 | 1.2495 | 0.5913 | 0.0000 | |
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| 1.9832 | 6.9943 | 612 | 1.3386 | 0.6015 | 0.0000 | |
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| 1.9832 | 8.0 | 700 | 1.4233 | 0.6124 | 0.0000 | |
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| 1.9832 | 8.9943 | 787 | 1.5144 | 0.5942 | 0.0000 | |
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| 1.9832 | 10.0 | 875 | 1.6596 | 0.5924 | 0.0000 | |
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| 1.9832 | 10.9943 | 962 | 1.7356 | 0.5980 | 0.0000 | |
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| 0.3221 | 12.0 | 1050 | 1.8500 | 0.5796 | 0.0000 | |
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| 0.3221 | 12.9943 | 1137 | 1.9288 | 0.5826 | 0.0000 | |
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| 0.3221 | 14.0 | 1225 | 1.9396 | 0.5819 | 2e-06 | |
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| 0.3221 | 14.9143 | 1305 | 1.9438 | 0.5876 | 0.0 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.1.0 |
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- Tokenizers 0.19.1 |
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