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bloom1.7-lora-sentiment-analysis-classification
MLap/bloom1.7-lora-sentiment-analysis-classification
bloom1.7-lora-sentiment-analysis-classification is a text classification model from MLap. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
- Developed by: Aman Prakash - Model type: Decoder only LLM - Language(s) (NLP): All suported by Bloom-1.7B, but primarily finetuned on English Dataset. - License: MIT - Finetuned from model: Bloom-1.7B
Access
Public
Updated Jul 12, 2025
Repo size
28.1 MB
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0
Public
Repo makeup
Click a slice to open those files.
.json21.8 MB · 78%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Access
- Public
- Created
- Jul 12, 2025
- Updated
- Jul 12, 2025
- SHA
- 8252cf24
Try a prompt
Base models
Model card
From the Hugging Face model README
Model Description
- Developed by: Aman Prakash
- Model type: Decoder only LLM
- Language(s) (NLP): All suported by Bloom-1.7B, but primarily finetuned on English Dataset.
- License: MIT
- Finetuned from model: Bloom-1.7B
Uses
For Sentiment Analysis Classification with 3 class - 0 - negative, 1 - neutral, 2 - positive.
Downstream Use
Sentiment Analysis Classification
Training Details
FineTuning Data
Sp1786/multiclass-sentiment-analysis-dataset
[More Information Needed]
Training Procedure
LoRA with rank 8.
Training Hyperparameters
per_device_train_batch_size=4,
per_device_eval_batch_size=4,
gradient_accumulation_steps=4,
eval_strategy="steps",
eval_steps=200,
logging_steps=100,
num_train_epochs=2,
learning_rate=2e-4,
fp16=True,
save_steps=500,
save_total_limit=2,
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Created
- Jul 12, 2025
- Updated
- Jul 12, 2025