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gitlab-mr-analysis-default-model
This model is a fine-tuned version of distilbert-base-uncased-distilled-squad on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3356
- Accuracy: 94.72759226713534%
- F1: 0.9612
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 284 | 0.4056 | 85.76449912126537% | 0.7346 |
| 0.4789 | 2.0 | 568 | 0.2722 | 91.47627416520211% | 0.9335 |
| 0.4789 | 3.0 | 852 | 0.2413 | 94.37609841827768% | 0.9592 |
| 0.1185 | 4.0 | 1137 | 0.2776 | 94.37609841827768% | 0.9574 |
| 0.1185 | 5.0 | 1421 | 0.3132 | 93.84885764499121% | 0.9472 |
| 0.0378 | 6.0 | 1705 | 0.3323 | 94.28822495606327% | 0.9582 |
| 0.0378 | 7.0 | 1989 | 0.3393 | 94.28822495606327% | 0.9575 |
| 0.0123 | 8.0 | 2274 | 0.3363 | 94.5518453427065% | 0.9607 |
| 0.0077 | 9.0 | 2558 | 0.3333 | 94.63971880492092% | 0.9606 |
| 0.0077 | 9.99 | 2840 | 0.3356 | 94.72759226713534% | 0.9612 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1
- Datasets 2.14.4
- Tokenizers 0.13.2
