---
base_model: allenai/biomed_roberta_base
tags:
- generated_from_trainer
model-index:
- name: clinical_transcripts_roberta
  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. -->

# clinical_transcripts_roberta

This model is a fine-tuned version of [allenai/biomed_roberta_base](https://huggingface.co/allenai/biomed_roberta_base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0798

## 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: 0.0005
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- lr_scheduler_warmup_steps: 100
- training_steps: 2000

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.405         | 0.51  | 100  | 1.2925          |
| 1.3155        | 1.01  | 200  | 1.2096          |
| 1.276         | 1.52  | 300  | 1.1683          |
| 1.2876        | 2.02  | 400  | 1.1698          |
| 1.2189        | 2.53  | 500  | 1.1662          |
| 1.1993        | 3.03  | 600  | 1.1183          |
| 1.1656        | 3.54  | 700  | 1.1337          |
| 1.1486        | 4.04  | 800  | 1.1396          |
| 1.14          | 4.55  | 900  | 1.1034          |
| 1.1411        | 5.05  | 1000 | 1.1279          |
| 1.1132        | 5.56  | 1100 | 1.0999          |
| 1.1039        | 6.06  | 1200 | 1.0912          |
| 1.0986        | 6.57  | 1300 | 1.0948          |
| 1.077         | 7.07  | 1400 | 1.0866          |
| 1.0649        | 7.58  | 1500 | 1.0695          |
| 1.0564        | 8.08  | 1600 | 1.0676          |
| 1.028         | 8.59  | 1700 | 1.0567          |
| 1.0917        | 9.09  | 1800 | 1.0642          |
| 1.0456        | 9.6   | 1900 | 1.0386          |
| 1.0353        | 10.1  | 2000 | 1.0798          |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0