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---
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: rap_phase2_MODEL2_14march_10i_v2
  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. -->

# rap_phase2_MODEL2_14march_10i_v2

This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0055

## 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: 3
- eval_batch_size: 3
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.6026        | 1.0   | 1270  | 0.5880          |
| 0.3595        | 2.0   | 2540  | 0.2783          |
| 0.314         | 3.0   | 3810  | 0.3707          |
| 0.1367        | 4.0   | 5080  | 0.1391          |
| 0.0593        | 5.0   | 6350  | 0.0528          |
| 0.0172        | 6.0   | 7620  | 0.0588          |
| 0.0213        | 7.0   | 8890  | 0.0111          |
| 0.0128        | 8.0   | 10160 | 0.0124          |
| 0.0066        | 9.0   | 11430 | 0.0102          |
| 0.0017        | 10.0  | 12700 | 0.0055          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0