metadata
base_model: lukasdrg/clinical_longformer_same_tokens_220k
tags:
- generated_from_trainer
model-index:
- name: clinical_longformer_same_tokens_240k
results: []
clinical_longformer_same_tokens_240k
This model is a fine-tuned version of lukasdrg/clinical_longformer_same_tokens_220k on the None 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: 2
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 120
- total_train_batch_size: 240
- 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
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1