---
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_07112024T112848
  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_07112024T112848

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: 1.4370
- F1: 0.6019
- Learning Rate: 1e-07

## 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: 10
- 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  | 1.2343          | 0.6066 | 0.0000 |
| 1.988         | 6.9943 | 612  | 1.2930          | 0.6052 | 0.0000 |
| 1.988         | 8.0    | 700  | 1.3840          | 0.6037 | 0.0000 |
| 1.988         | 8.9943 | 787  | 1.4193          | 0.5945 | 0.0000 |
| 1.988         | 9.9429 | 870  | 1.4370          | 0.6019 | 1e-07  |


### Framework versions

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