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---
base_model: lukasdrg/clinical_longformer_same_tokens_3epochs_100k
tags:
- generated_from_trainer
model-index:
- name: clinical_longformer_same_tokens_3epochs_150k
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_longformer_same_tokens_3epochs_150k
This model is a fine-tuned version of [lukasdrg/clinical_longformer_same_tokens_3epochs_100k](https://huggingface.co/lukasdrg/clinical_longformer_same_tokens_3epochs_100k) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4013
## 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: 2
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 64
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1500
- num_epochs: 1
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.6898 | 0.18 | 65 | 1.4157 |
| 1.4247 | 0.37 | 130 | 1.4069 |
| 1.4969 | 0.55 | 195 | 1.4178 |
| 1.4812 | 0.74 | 260 | 1.3967 |
| 1.3628 | 0.92 | 325 | 1.4013 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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