metadata
license: mit
base_model: ml6team/keyphrase-extraction-distilbert-inspec
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: keyphrase-extraction-distilbert-inspec-finetuned-ner
results: []
keyphrase-extraction-distilbert-inspec-finetuned-ner
This model is a fine-tuned version of ml6team/keyphrase-extraction-distilbert-inspec on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7236
- Precision: 0.7952
- Recall: 0.8590
- F1: 0.8259
- Accuracy: 0.7952
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: 0.0002
- train_batch_size: 16
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 0.15 | 10 | 0.7251 | 0.7952 | 0.8590 | 0.8259 | 0.7952 |
| No log | 0.3 | 20 | 0.7239 | 0.7952 | 0.8590 | 0.8259 | 0.7952 |
| No log | 0.45 | 30 | 0.7239 | 0.7952 | 0.8590 | 0.8259 | 0.7952 |
| No log | 0.6 | 40 | 0.7236 | 0.7952 | 0.8590 | 0.8259 | 0.7952 |
| No log | 0.75 | 50 | 0.7241 | 0.7952 | 0.8590 | 0.8259 | 0.7952 |
| No log | 0.9 | 60 | 0.7238 | 0.7952 | 0.8590 | 0.8259 | 0.7952 |
| No log | 1.04 | 70 | 0.7241 | 0.7952 | 0.8590 | 0.8259 | 0.7952 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2