transformers safetensors bert token-classification generated_from_trainer dataset:ncbi_disease base_model:amirali26/amir-clinicalbert base_model:finetune:amirali26/amir-clinicalbert license:mit autotrain_compatible endpoints_compatible region:us
---
base_model: amirali26/amir-clinicalbert
datasets:
- ncbi_disease
license: mit
tags:
- generated_from_trainer
model-index:
- name: amir-clinicalbert-2
  results: []
---

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# amir-clinicalbert-2

This model is a fine-tuned version of [amirali26/amir-clinicalbert](https://huggingface.co/amirali26/amir-clinicalbert) on the ncbi_disease dataset.

## 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: 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: 6

### Training results



### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1
- Datasets 2.15.0
- Tokenizers 0.15.0
