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roberta_test_higher_sentiment_2
iTroned/roberta_test_higher_sentiment_2
roberta_test_higher_sentiment_2 is a machine learning model from iTroned. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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Public
Updated Nov 6, 2024
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At a glance
- Library
- transformers
- License
- apache-2.0
- Access
- Public
- Created
- Nov 6, 2024
- Updated
- Nov 6, 2024
- SHA
- 08d4320c
Base models
Model card
From the Hugging Face model README
<!-- 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. -->
roberta_test_higher_sentiment_2
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7152
accuracy
: 0.8035
f1
: 0.8055
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-06
- 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: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
accuracy
|
f1
| |:-------------:|:-----:|:----:|:---------------:|:------------:|:------:| | No log | 1.0 | 414 | 2.1700 | 0.7140 | 0.6107 | | 3.0791 | 2.0 | 828 | 1.8606 | 0.6674 | 0.5934 | | 2.2628 | 3.0 | 1242 | 1.6506 | 0.6244 | 0.5875 | | 1.9009 | 4.0 | 1656 | 1.5491 | 0.5907 | 0.5741 | | 1.7106 | 5.0 | 2070 | 1.3944 | 0.6616 | 0.6175 | | 1.7106 | 6.0 | 2484 | 1.2659 | 0.7093 | 0.6405 | | 1.4298 | 7.0 | 2898 | 1.0533 | 0.7128 | 0.6614 | | 1.088 | 8.0 | 3312 | 0.8825 | 0.7128 | 0.6797 | | 0.8339 | 9.0 | 3726 | 0.7896 | 0.7267 | 0.7034 | | 0.6551 | 10.0 | 4140 | 0.7736 | 0.7360 | 0.7306 | | 0.5637 | 11.0 | 4554 | 0.7400 | 0.8070 | 0.8025 | | 0.5637 | 12.0 | 4968 | 0.7152 | 0.8035 | 0.8055 | | 0.4821 | 13.0 | 5382 | 0.7421 | 0.8070 | 0.8072 | | 0.4184 | 14.0 | 5796 | 0.7307 | 0.8023 | 0.8038 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
- Library
- transformers
- License
- apache-2.0
- Created
- Nov 6, 2024
- Updated
- Nov 6, 2024