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_07112024T172947
    results: []

gitlab-mr-analysis-default-model_07112024T172947

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: 1.9438
F1: 0.5876
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: 15
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Rate
No log	0.9943	87	3.5342	0.1406	0.0000
No log	2.0	175	1.5958	0.2582	7e-06
No log	2.9943	262	1.2511	0.5414	0.0000
No log	4.0	350	1.1763	0.5725	0.0000
No log	4.9943	437	1.1890	0.5848	0.0000
1.9832	6.0	525	1.2495	0.5913	0.0000
1.9832	6.9943	612	1.3386	0.6015	0.0000
1.9832	8.0	700	1.4233	0.6124	0.0000
1.9832	8.9943	787	1.5144	0.5942	0.0000
1.9832	10.0	875	1.6596	0.5924	0.0000
1.9832	10.9943	962	1.7356	0.5980	0.0000
0.3221	12.0	1050	1.8500	0.5796	0.0000
0.3221	12.9943	1137	1.9288	0.5826	0.0000
0.3221	14.0	1225	1.9396	0.5819	2e-06
0.3221	14.9143	1305	1.9438	0.5876	0.0

Framework versions

Transformers 4.44.2
Pytorch 2.5.1+cu124
Datasets 3.1.0
Tokenizers 0.19.1