|
--- |
|
license: mit |
|
base_model: neuraly/bert-base-italian-cased-sentiment |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- tweet_sentiment_multilingual |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: sentiment_ita |
|
results: |
|
- task: |
|
name: Text Classification |
|
type: text-classification |
|
dataset: |
|
name: tweet_sentiment_multilingual |
|
type: tweet_sentiment_multilingual |
|
config: italian |
|
split: validation |
|
args: italian |
|
metrics: |
|
- name: Accuracy |
|
type: accuracy |
|
value: 0.6944444444444444 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# sentiment_ita |
|
|
|
This model is a fine-tuned version of [neuraly/bert-base-italian-cased-sentiment](https://huggingface.co/neuraly/bert-base-italian-cased-sentiment) on the tweet_sentiment_multilingual dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 2.3610 |
|
- Accuracy: 0.6944 |
|
|
|
## 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: 5e-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: 800 |
|
- num_epochs: 10 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| No log | 1.0 | 171 | 0.7979 | 0.6574 | |
|
| 0.8861 | 2.0 | 342 | 0.7423 | 0.6944 | |
|
| 0.8861 | 3.0 | 513 | 0.8450 | 0.6914 | |
|
| 0.3208 | 4.0 | 684 | 1.2621 | 0.6698 | |
|
| 0.3208 | 5.0 | 855 | 1.3658 | 0.6790 | |
|
| 0.1361 | 6.0 | 1026 | 1.9379 | 0.6883 | |
|
| 0.1361 | 7.0 | 1197 | 2.2134 | 0.6667 | |
|
| 0.0567 | 8.0 | 1368 | 2.4013 | 0.6728 | |
|
| 0.0567 | 9.0 | 1539 | 2.3630 | 0.6914 | |
|
| 0.0113 | 10.0 | 1710 | 2.3610 | 0.6944 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.35.2 |
|
- Pytorch 2.0.1 |
|
- Datasets 2.15.0 |
|
- Tokenizers 0.15.0 |
|
|
