---
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_07112024T153612
  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_07112024T153612

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: 2.5457
- F1: 0.5961
- 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: Use adamw_hf with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- 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        | 0.9968 | 157  | 1.6043          | 0.5917 | 0.0000 |
| No log        | 1.9952 | 314  | 1.6776          | 0.5892 | 0.0000 |
| No log        | 2.9937 | 471  | 1.8240          | 0.5767 | 0.0000 |
| 0.1764        | 3.9984 | 629  | 1.9399          | 0.5930 | 0.0000 |
| 0.1764        | 4.9968 | 786  | 2.0195          | 0.5834 | 0.0000 |
| 0.1764        | 5.9952 | 943  | 2.1140          | 0.5892 | 0.0000 |
| 0.1109        | 6.9937 | 1100 | 2.3528          | 0.5971 | 0.0000 |
| 0.1109        | 7.9984 | 1258 | 2.4072          | 0.5963 | 0.0000 |
| 0.1109        | 8.9968 | 1415 | 2.5230          | 0.5901 | 0.0000 |
| 0.0415        | 9.9825 | 1570 | 2.5457          | 0.5961 | 0.0    |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3