Downloads · 30 days
8
0% of all-time downloads
lstm-finetuning-sentiment-model-3000-samples
LYTinn/lstm-finetuning-sentiment-model-3000-samples
lstm-finetuning-sentiment-model-3000-samples is a text classification model from LYTinn. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
All-time downloads
3.8K
Public
Repo size
139 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin46.5 MB · 98%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Oct 11, 2022
- Updated
- Oct 11, 2022
- SHA
- ed13eff7
Try a prompt
Datasets
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. -->
lstm-finetuning-sentiment-model-3000-samples
This model is a fine-tuned version of CEBaB/lstm.CEBaB.sa.5-class.exclusive.seed_42 on the imdb dataset. It achieves the following results on the evaluation set:
- Loss: 0.6928
- Accuracy: 0.5
- F1: 0.0
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
Framework versions
- Transformers 4.23.0
- Pytorch 1.12.1+cu116
- Datasets 2.5.2
- Tokenizers 0.13.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Oct 11, 2022
- Updated
- Oct 11, 2022