---
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_07112024T123200
  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_07112024T123200

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: 2.1618
- F1: 0.6102
- 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: 20
- 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  | 1.2367          | 0.6025 | 0.0000 |
| 1.988         | 6.9943  | 612  | 1.2985          | 0.6065 | 0.0000 |
| 1.988         | 8.0     | 700  | 1.3981          | 0.6012 | 0.0000 |
| 1.988         | 8.9943  | 787  | 1.4878          | 0.6025 | 0.0000 |
| 1.988         | 10.0    | 875  | 1.6375          | 0.6039 | 0.0000 |
| 1.988         | 10.9943 | 962  | 1.6594          | 0.6116 | 0.0000 |
| 0.3297        | 12.0    | 1050 | 1.7861          | 0.6165 | 0.0000 |
| 0.3297        | 12.9943 | 1137 | 1.8770          | 0.6306 | 0.0000 |
| 0.3297        | 14.0    | 1225 | 1.9764          | 0.6021 | 0.0000 |
| 0.3297        | 14.9943 | 1312 | 2.0507          | 0.6134 | 0.0000 |
| 0.3297        | 16.0    | 1400 | 2.1181          | 0.6007 | 0.0000 |
| 0.3297        | 16.9943 | 1487 | 2.1135          | 0.6063 | 0.0000 |
| 0.0529        | 18.0    | 1575 | 2.1483          | 0.6024 | 0.0000 |
| 0.0529        | 18.9943 | 1662 | 2.1560          | 0.6138 | 0.0000 |
| 0.0529        | 19.8857 | 1740 | 2.1618          | 0.6102 | 0.0    |


### Framework versions

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