---
library_name: transformers
license: mit
base_model: FacebookAI/xlm-roberta-large
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: duration-time-v1
  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. -->

# duration-time-v1

This model is a fine-tuned version of [FacebookAI/xlm-roberta-large](https://huggingface.co/FacebookAI/xlm-roberta-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6917
- Accuracy: 0.5369
- Precision: 0.0
- Recall: 0.0
- F1: 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| 0.7028        | 1.0   | 336  | 0.6964          | 0.4631   | 0.4631    | 1.0    | 0.6330 |
| 0.7015        | 2.0   | 672  | 0.6921          | 0.5369   | 0.0       | 0.0    | 0.0    |
| 0.7002        | 3.0   | 1008 | 0.6936          | 0.4631   | 0.4631    | 1.0    | 0.6330 |
| 0.699         | 4.0   | 1344 | 0.6938          | 0.4631   | 0.4631    | 1.0    | 0.6330 |
| 0.6992        | 5.0   | 1680 | 0.6906          | 0.5369   | 0.0       | 0.0    | 0.0    |
| 0.6972        | 6.0   | 2016 | 0.6921          | 0.5369   | 0.0       | 0.0    | 0.0    |
| 0.6963        | 7.0   | 2352 | 0.6918          | 0.5369   | 0.0       | 0.0    | 0.0    |
| 0.6964        | 8.0   | 2688 | 0.6924          | 0.5369   | 0.0       | 0.0    | 0.0    |
| 0.6952        | 9.0   | 3024 | 0.6919          | 0.5369   | 0.0       | 0.0    | 0.0    |
| 0.6964        | 10.0  | 3360 | 0.6917          | 0.5369   | 0.0       | 0.0    | 0.0    |


### Framework versions

- Transformers 4.55.0
- Pytorch 2.7.1+cu126
- Datasets 4.0.0
- Tokenizers 0.21.4