base_model: citizenlab/twitter-xlm-roberta-base-sentiment-finetunned | |
tags: | |
- generated_from_trainer | |
metrics: | |
- accuracy | |
model-index: | |
- name: hihu4 | |
results: [] | |
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# hihu4 | |
This model is a fine-tuned version of [citizenlab/twitter-xlm-roberta-base-sentiment-finetunned](https://huggingface.co/citizenlab/twitter-xlm-roberta-base-sentiment-finetunned) on an unknown dataset. | |
It achieves the following results on the evaluation set: | |
- Loss: 0.8167 | |
- Accuracy: 0.7268 | |
## 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-05 | |
- train_batch_size: 16 | |
- eval_batch_size: 16 | |
- seed: 42 | |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
- lr_scheduler_type: linear | |
- lr_scheduler_warmup_steps: 600 | |
- num_epochs: 3.0 | |
### Training results | |
| Training Loss | Epoch | Step | Validation Loss | Accuracy | | |
|:-------------:|:-----:|:----:|:---------------:|:--------:| | |
| 0.3799 | 1.0 | 1648 | 0.8540 | 0.7218 | | |
| 0.3021 | 2.0 | 3296 | 0.9949 | 0.7165 | | |
| 0.3724 | 3.0 | 4944 | 0.8167 | 0.7268 | | |
### Framework versions | |
- Transformers 4.31.0 | |
- Pytorch 2.0.1+cpu | |
- Datasets 2.14.4 | |
- Tokenizers 0.13.0 | |