---
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_07112024T144546
  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_07112024T144546

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: 1.8027
- F1: 0.6073
- 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: 50
- num_epochs: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | F1     | Rate   |
|:-------------:|:-------:|:----:|:---------------:|:------:|:------:|
| No log        | 0.9943  | 87   | 1.4164          | 0.4734 | 0.0000 |
| No log        | 2.0     | 175  | 1.1559          | 0.5633 | 0.0000 |
| No log        | 2.9943  | 262  | 1.1174          | 0.5783 | 0.0000 |
| No log        | 4.0     | 350  | 1.1657          | 0.5926 | 0.0000 |
| No log        | 4.9943  | 437  | 1.2393          | 0.5971 | 0.0000 |
| 1.1987        | 6.0     | 525  | 1.3274          | 0.5808 | 0.0000 |
| 1.1987        | 6.9943  | 612  | 1.4004          | 0.5978 | 0.0000 |
| 1.1987        | 8.0     | 700  | 1.5053          | 0.5934 | 0.0000 |
| 1.1987        | 8.9943  | 787  | 1.5536          | 0.5977 | 0.0000 |
| 1.1987        | 10.0    | 875  | 1.6054          | 0.6014 | 0.0000 |
| 1.1987        | 10.9943 | 962  | 1.6829          | 0.5987 | 0.0000 |
| 0.2146        | 12.0    | 1050 | 1.7637          | 0.6054 | 0.0000 |
| 0.2146        | 12.9943 | 1137 | 1.7628          | 0.6033 | 0.0000 |
| 0.2146        | 14.0    | 1225 | 1.7768          | 0.6056 | 0.0000 |
| 0.2146        | 14.9143 | 1305 | 1.8027          | 0.6073 | 0.0    |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.19.1