---
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_07112024T124024
  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_07112024T124024

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: 1.5698
- F1: 0.5908
- 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: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | F1     | Rate   |
|:-------------:|:------:|:----:|:---------------:|:------:|:------:|
| No log        | 0.9968 | 157  | 1.3933          | 0.4233 | 0.0000 |
| No log        | 2.0    | 315  | 1.1736          | 0.4818 | 0.0000 |
| No log        | 2.9968 | 472  | 1.0885          | 0.5673 | 0.0000 |
| 1.4241        | 4.0    | 630  | 1.1164          | 0.6118 | 0.0000 |
| 1.4241        | 4.9968 | 787  | 1.1692          | 0.6285 | 0.0000 |
| 1.4241        | 6.0    | 945  | 1.3032          | 0.6036 | 0.0000 |
| 0.6247        | 6.9968 | 1102 | 1.4004          | 0.6043 | 0.0000 |
| 0.6247        | 8.0    | 1260 | 1.4752          | 0.5980 | 0.0000 |
| 0.6247        | 8.9968 | 1417 | 1.5317          | 0.5985 | 0.0000 |
| 0.2719        | 9.9683 | 1570 | 1.5698          | 0.5908 | 0.0    |


### Framework versions

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