Downloads · 30 days
4
21% of all-time downloads
gitlab-mr-analysis-default-model_07112024T123200
Imkaran/gitlab-mr-analysis-default-model_07112024T123200
gitlab-mr-analysis-default-model_07112024T123200 is a text classification model from Imkaran. 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. --
All-time downloads
19
Public
Parameters
67M
268 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors268 MB · 100%
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
- 08690447
Try a prompt
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_07112024T123200
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: 2.1618
- 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
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Nov 7, 2024
- Updated
- Nov 7, 2024