Downloads · 30 days
9
2% of all-time downloads
distilbert-base-uncased-sentiment_analysis_model
KaushiGihan/distilbert-base-uncased-sentiment_analysis_model
distilbert-base-uncased-sentiment_analysis_model is a machine learning model from KaushiGihan. 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 peft. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
459
Public
Repo size
2.5 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors2.5 MB · 72%
At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Mar 15, 2025
- Updated
- Mar 15, 2025
- SHA
- 87521040
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. -->
distilbert-base-uncased-sentiment_analysis_model
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Accuracy: 0.904
- Loss: 0.2909
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: 0.001
- train_batch_size: 96
- eval_batch_size: 96
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Accuracy | Validation Loss |
|---|---|---|---|---|
| No log | 1.0 | 11 | 0.799 | 0.5024 |
| No log | 2.0 | 22 | 0.891 | 0.2789 |
| No log | 3.0 | 33 | 0.886 | 0.2708 |
| No log | 4.0 | 44 | 0.903 | 0.2456 |
| No log | 5.0 | 55 | 0.897 | 0.2568 |
| No log | 6.0 | 66 | 0.904 | 0.2667 |
| No log | 7.0 | 77 | 0.907 | 0.2691 |
| No log | 8.0 | 88 | 0.899 | 0.2836 |
| No log | 9.0 | 99 | 0.907 | 0.2894 |
| No log | 10.0 | 110 | 0.904 | 0.2909 |
Framework versions
- PEFT 0.14.0
- Transformers 4.48.3
- Pytorch 2.6.0+cu124
- Datasets 3.4.0
- Tokenizers 0.21.0
- Library
- peft
- License
- apache-2.0
- Created
- Mar 15, 2025
- Updated
- Mar 15, 2025