metadata
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_07112024T112848
results: []
gitlab-mr-analysis-default-model_07112024T112848
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: 1.4370
- F1: 0.6019
- Learning Rate: 1e-07
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: 10
- 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 | 1.2343 | 0.6066 | 0.0000 |
| 1.988 | 6.9943 | 612 | 1.2930 | 0.6052 | 0.0000 |
| 1.988 | 8.0 | 700 | 1.3840 | 0.6037 | 0.0000 |
| 1.988 | 8.9943 | 787 | 1.4193 | 0.5945 | 0.0000 |
| 1.988 | 9.9429 | 870 | 1.4370 | 0.6019 | 1e-07 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.19.1