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gitlab-mr-analysis-default-model_07112024T153612
khilan-crest/gitlab-mr-analysis-default-model_07112024T153612
gitlab-mr-analysis-default-model_07112024T153612 is a text classification model from khilan-crest. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Nov 7, 2024
- Updated
- Nov 7, 2024
- SHA
- 7df99faf
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Base models
Model card
From the Hugging Face model README
<!-- 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_07112024T153612
This model is a fine-tuned version of crest-data-systems/gitlab-mr-analysis-default-model on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.5457
- F1: 0.5961
- 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: Use adamw_hf with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- 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 | 1.6043 | 0.5917 | 0.0000 |
| No log | 1.9952 | 314 | 1.6776 | 0.5892 | 0.0000 |
| No log | 2.9937 | 471 | 1.8240 | 0.5767 | 0.0000 |
| 0.1764 | 3.9984 | 629 | 1.9399 | 0.5930 | 0.0000 |
| 0.1764 | 4.9968 | 786 | 2.0195 | 0.5834 | 0.0000 |
| 0.1764 | 5.9952 | 943 | 2.1140 | 0.5892 | 0.0000 |
| 0.1109 | 6.9937 | 1100 | 2.3528 | 0.5971 | 0.0000 |
| 0.1109 | 7.9984 | 1258 | 2.4072 | 0.5963 | 0.0000 |
| 0.1109 | 8.9968 | 1415 | 2.5230 | 0.5901 | 0.0000 |
| 0.0415 | 9.9825 | 1570 | 2.5457 | 0.5961 | 0.0 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Nov 7, 2024
- Updated
- Nov 7, 2024