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---
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: []
---
<!-- 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_07112024T172947
This model is a fine-tuned version of [crest-data-systems/gitlab-mr-analysis-default-model](https://huggingface.co/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
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