metadata
license: mit
tags:
- generated_from_trainer
model-index:
- name: clm-model
results: []
clm-model
This model is a fine-tuned version of emilyalsentzer/Bio_ClinicalBERT on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0001
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: 8
- eval_batch_size: 8
- 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 |
|---|---|---|---|
| No log | 1.0 | 38 | 1.2558 |
| No log | 2.0 | 76 | 0.2603 |
| No log | 3.0 | 114 | 0.0568 |
| No log | 4.0 | 152 | 0.0202 |
| No log | 5.0 | 190 | 0.0023 |
| No log | 6.0 | 228 | 0.0014 |
| No log | 7.0 | 266 | 0.0003 |
| No log | 8.0 | 304 | 0.0002 |
| No log | 9.0 | 342 | 0.0001 |
| No log | 10.0 | 380 | 0.0001 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3