---
license: mit
base_model: ml6team/keyphrase-extraction-distilbert-inspec
tags:
- generated_from_trainer
datasets:
- inspec
model-index:
- name: results
  results: []
---

<!-- 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. -->

# results

This model is a fine-tuned version of [ml6team/keyphrase-extraction-distilbert-inspec](https://huggingface.co/ml6team/keyphrase-extraction-distilbert-inspec) on the inspec dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2616

## 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0004        | 3.12  | 100  | 0.2452          |
| 0.0002        | 6.25  | 200  | 0.2559          |
| 0.0001        | 9.38  | 300  | 0.2616          |


### Framework versions

- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3