twitter_RoBERTa_token_itr0_1e-05_editorials_01_03_2022-15_00_35
This model is a fine-tuned version of cardiffnlp/twitter-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1155
- Precision: 0.5720
- Recall: 0.4705
- F1: 0.5163
- Accuracy: 0.9687
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
---|---|---|---|---|---|---|---|
No log | 1.0 | 15 | 0.1256 | 0.04 | 0.0021 | 0.0039 | 0.9624 |
No log | 2.0 | 30 | 0.0963 | 0.7121 | 0.5711 | 0.6339 | 0.9794 |
No log | 3.0 | 45 | 0.0844 | 0.6205 | 0.5732 | 0.5959 | 0.9778 |
No log | 4.0 | 60 | 0.0770 | 0.6201 | 0.5856 | 0.6023 | 0.9778 |
No log | 5.0 | 75 | 0.0750 | 0.6174 | 0.5856 | 0.6011 | 0.9777 |
Framework versions
- Transformers 4.15.0
- Pytorch 1.10.1+cu113
- Datasets 1.18.0
- Tokenizers 0.10.3
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