---
license: apache-2.0
base_model: distilroberta-base
tags:
- generated_from_trainer
model-index:
- name: distilroberta-base_task2-2_macrof1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilroberta-base_task2-2_macrof1

This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6203
- Macro F1: 0.3090

## 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: 1e-06
- train_batch_size: 10
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Macro F1 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.6541        | 1.0   | 553  | 0.6474          | 0.2768   |
| 0.7044        | 2.0   | 1106 | 0.6376          | 0.2768   |
| 0.6615        | 3.0   | 1659 | 0.6390          | 0.2768   |
| 0.6289        | 4.0   | 2212 | 0.6355          | 0.2768   |
| 0.5047        | 5.0   | 2765 | 0.6372          | 0.2841   |
| 0.5894        | 6.0   | 3318 | 0.6296          | 0.2983   |
| 0.5401        | 7.0   | 3871 | 0.6203          | 0.3090   |
| 0.7215        | 8.0   | 4424 | 0.6263          | 0.3080   |
| 0.6368        | 9.0   | 4977 | 0.6370          | 0.3033   |
| 0.4872        | 10.0  | 5530 | 0.6349          | 0.3024   |


### Framework versions

- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1