Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use roymgabriel/BioPharma with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use roymgabriel/BioPharma with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="roymgabriel/BioPharma")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("roymgabriel/BioPharma") model = AutoModelForSequenceClassification.from_pretrained("roymgabriel/BioPharma", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from roymgabriel/BioPharma: direct link, hf CLI and curl.
- Browser
- Download file 1.21 kB
-
https://huggingface.co/roymgabriel/BioPharma/resolve/main/README.md
- Command line
-
hf download hf://roymgabriel/BioPharma/README.md
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curl -L -o README.md https://huggingface.co/roymgabriel/BioPharma/resolve/main/README.md
1.21 kB
metadata
base_model: dmis-lab/TinySapBERT-from-TinyPubMedBERT-v1.0
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: BioPharma
results: []
BioPharma
This model is a fine-tuned version of dmis-lab/TinySapBERT-from-TinyPubMedBERT-v1.0 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4073
- F1: 0.8642
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: 1e-06
- train_batch_size: 64
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1000
Training results
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0