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level_c_huge_sentiment_tb_0
iTroned/level_c_huge_sentiment_tb_0
level_c_huge_sentiment_tb_0 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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Updated Oct 25, 2024
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At a glance
- Library
- transformers
- License
- apache-2.0
- Access
- Public
- Created
- Oct 25, 2024
- Updated
- Oct 25, 2024
- SHA
- ca664a9c
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. -->
level_c_huge_sentiment_tb_0
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: 1.9157
accuracy
: 0.5915
f1
: 0.5720
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 | 122 | 4.2726 | 0.4554 | 0.4479 | | No log | 2.0 | 244 | 3.6147 | 0.4789 | 0.4755 | | No log | 3.0 | 366 | 3.2739 | 0.4977 | 0.4940 | | No log | 4.0 | 488 | 3.1773 | 0.5164 | 0.5061 | | 3.7586 | 5.0 | 610 | 2.9913 | 0.5305 | 0.5201 | | 3.7586 | 6.0 | 732 | 2.6793 | 0.5211 | 0.5105 | | 3.7586 | 7.0 | 854 | 2.6357 | 0.5681 | 0.5527 | | 3.7586 | 8.0 | 976 | 2.5609 | 0.5446 | 0.5219 | | 2.4153 | 9.0 | 1098 | 2.5325 | 0.5352 | 0.5142 | | 2.4153 | 10.0 | 1220 | 2.2139 | 0.5446 | 0.5396 | | 2.4153 | 11.0 | 1342 | 2.2626 | 0.5493 | 0.5331 | | 2.4153 | 12.0 | 1464 | 2.1830 | 0.5493 | 0.5302 | | 1.5224 | 13.0 | 1586 | 2.0396 | 0.5352 | 0.5329 | | 1.5224 | 14.0 | 1708 | 2.0469 | 0.5728 | 0.5591 | | 1.5224 | 15.0 | 1830 | 1.9968 | 0.5587 | 0.5475 | | 1.5224 | 16.0 | 1952 | 1.9542 | 0.5728 | 0.5617 | | 0.9782 | 17.0 | 2074 | 1.9774 | 0.5728 | 0.5581 | | 0.9782 | 18.0 | 2196 | 1.9157 | 0.5915 | 0.5720 | | 0.9782 | 19.0 | 2318 | 1.9316 | 0.5915 | 0.5715 | | 0.9782 | 20.0 | 2440 | 1.9433 | 0.5728 | 0.5523 |
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
- Oct 25, 2024
- Updated
- Oct 25, 2024