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---
license: mit
tags:
- generated_from_trainer
model-index:
- name: clm-model
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. -->
# clm-model
This model is a fine-tuned version of [emilyalsentzer/Bio_ClinicalBERT](https://huggingface.co/emilyalsentzer/Bio_ClinicalBERT) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000
## 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: 50
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log | 1.0 | 38 | 0.0088 |
| No log | 2.0 | 76 | 0.0007 |
| No log | 3.0 | 114 | 0.0003 |
| No log | 4.0 | 152 | 0.0013 |
| No log | 5.0 | 190 | 0.0000 |
| No log | 6.0 | 228 | 0.0002 |
| No log | 7.0 | 266 | 0.0100 |
| No log | 8.0 | 304 | 0.0000 |
| No log | 9.0 | 342 | 0.0000 |
| No log | 10.0 | 380 | 0.0000 |
| No log | 11.0 | 418 | 0.0000 |
| No log | 12.0 | 456 | 0.0000 |
| No log | 13.0 | 494 | 0.0000 |
| 0.0057 | 14.0 | 532 | 0.0007 |
| 0.0057 | 15.0 | 570 | 0.0000 |
| 0.0057 | 16.0 | 608 | 0.0000 |
| 0.0057 | 17.0 | 646 | 0.0000 |
| 0.0057 | 18.0 | 684 | 0.0000 |
| 0.0057 | 19.0 | 722 | 0.0000 |
| 0.0057 | 20.0 | 760 | 0.0000 |
| 0.0057 | 21.0 | 798 | 0.0000 |
| 0.0057 | 22.0 | 836 | 0.0000 |
| 0.0057 | 23.0 | 874 | 0.0000 |
| 0.0057 | 24.0 | 912 | 0.0000 |
| 0.0057 | 25.0 | 950 | 0.0000 |
| 0.0057 | 26.0 | 988 | 0.0000 |
| 0.0018 | 27.0 | 1026 | 0.0000 |
| 0.0018 | 28.0 | 1064 | 0.0000 |
| 0.0018 | 29.0 | 1102 | 0.0000 |
| 0.0018 | 30.0 | 1140 | 0.0000 |
| 0.0018 | 31.0 | 1178 | 0.0000 |
| 0.0018 | 32.0 | 1216 | 0.0000 |
| 0.0018 | 33.0 | 1254 | 0.0000 |
| 0.0018 | 34.0 | 1292 | 0.0000 |
| 0.0018 | 35.0 | 1330 | 0.0000 |
| 0.0018 | 36.0 | 1368 | 0.0000 |
| 0.0018 | 37.0 | 1406 | 0.0000 |
| 0.0018 | 38.0 | 1444 | 0.0000 |
| 0.0018 | 39.0 | 1482 | 0.0000 |
| 0.0005 | 40.0 | 1520 | 0.0000 |
| 0.0005 | 41.0 | 1558 | 0.0000 |
| 0.0005 | 42.0 | 1596 | 0.0000 |
| 0.0005 | 43.0 | 1634 | 0.0000 |
| 0.0005 | 44.0 | 1672 | 0.0000 |
| 0.0005 | 45.0 | 1710 | 0.0000 |
| 0.0005 | 46.0 | 1748 | 0.0000 |
| 0.0005 | 47.0 | 1786 | 0.0000 |
| 0.0005 | 48.0 | 1824 | 0.0000 |
| 0.0005 | 49.0 | 1862 | 0.0000 |
| 0.0005 | 50.0 | 1900 | 0.0000 |
### Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
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