File size: 1,789 Bytes
4ed0e1a 98457e8 7114347 98457e8 e60b29a 4ed0e1a 7114347 98457e8 7114347 98457e8 7114347 e60b29a 98457e8 7114347 98457e8 e60b29a |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 |
---
base_model: cardiffnlp/twitter-xlm-roberta-base-sentiment
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: twitter_xlm_robertta_sentiment_financial_news
results: []
datasets:
- Jean-Baptiste/financial_news_sentiment_mixte_with_phrasebank_75
---
<!-- 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. -->
# twitter_xlm_robertta_sentiment_financial_news
This model is a fine-tuned version of [cardiffnlp/twitter-xlm-roberta-base-sentiment](https://huggingface.co/cardiffnlp/twitter-xlm-roberta-base-sentiment) on [this]()https://huggingface.co/datasets/Jean-Baptiste/financial_news_sentiment_mixte_with_phrasebank_75 financial dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4492
- F1: 0.8812
## 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: 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: 300
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.518 | 1.0 | 556 | 0.4881 | 0.8184 |
| 0.3534 | 2.0 | 1112 | 0.5041 | 0.8797 |
| 0.1781 | 3.0 | 1668 | 0.4492 | 0.8812 |
### Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.1 |