---
base_model: MikeGreen2710/mlm_listing_1.79
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: training_with_callbacks
  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. -->

[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/ommlops/huggingface/runs/pktpgp7v)
# training_with_callbacks

This model is a fine-tuned version of [MikeGreen2710/mlm_listing_1.79](https://huggingface.co/MikeGreen2710/mlm_listing_1.79) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7291
- F1: 0.9208

## 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: 24
- eval_batch_size: 12
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.3171        | 1.0   | 450  | 0.2395          | 0.9020 |
| 0.1889        | 2.0   | 900  | 0.2344          | 0.9135 |
| 0.1356        | 3.0   | 1350 | 0.3104          | 0.8986 |
| 0.0919        | 4.0   | 1800 | 0.3622          | 0.9101 |
| 0.0553        | 5.0   | 2250 | 0.4539          | 0.9085 |
| 0.0347        | 6.0   | 2700 | 0.4787          | 0.9132 |
| 0.0221        | 7.0   | 3150 | 0.5269          | 0.9084 |
| 0.0113        | 8.0   | 3600 | 0.5861          | 0.9150 |
| 0.016         | 9.0   | 4050 | 0.6784          | 0.9098 |
| 0.0079        | 10.0  | 4500 | 0.6497          | 0.9200 |
| 0.005         | 11.0  | 4950 | 0.7084          | 0.9140 |
| 0.0074        | 12.0  | 5400 | 0.7291          | 0.9208 |
| 0.0061        | 13.0  | 5850 | 0.7240          | 0.9174 |
| 0.0053        | 14.0  | 6300 | 0.7493          | 0.9149 |
| 0.004         | 15.0  | 6750 | 0.8256          | 0.9106 |
| 0.0035        | 16.0  | 7200 | 0.7821          | 0.9158 |
| 0.0054        | 17.0  | 7650 | 0.8016          | 0.9148 |
| 0.0005        | 18.0  | 8100 | 0.8021          | 0.9166 |
| 0.0012        | 19.0  | 8550 | 0.8046          | 0.9182 |
| 0.002         | 20.0  | 9000 | 0.8045          | 0.9191 |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1