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base_model: cardiffnlp/twitter-xlm-roberta-base-sentiment-multilingual
tags:
- generated_from_trainer
model-index:
- name: fine-tuned-ylmRobertalMultilingualTwitter-WithNeutral
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. -->
# fine-tuned-ylmRobertalMultilingualTwitter-WithNeutral
This model is a fine-tuned version of [cardiffnlp/twitter-xlm-roberta-base-sentiment-multilingual](https://huggingface.co/cardiffnlp/twitter-xlm-roberta-base-sentiment-multilingual) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.3393
- eval_model_preparation_time: 0.0039
- eval_accuracy: {'accuracy': 0.8066666666666666}
- eval_f1score: {'f1': 0.7973155781697701}
- eval_runtime: 7.3698
- eval_samples_per_second: 40.707
- eval_steps_per_second: 5.156
- step: 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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 65
- num_epochs: 20
### Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.20.0
- Tokenizers 0.19.1
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