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---
license: apache-2.0
base_model: facebook/bart-large
tags:
- generated_from_trainer
model-index:
- name: bart-large-mimiciii-v2
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. -->
# bart-large-mimiciii-v2
This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2376
## 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: 5e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.0398 | 0.32 | 500 | 2.8919 |
| 2.6518 | 0.64 | 1000 | 2.5574 |
| 2.5785 | 0.96 | 1500 | 2.4426 |
| 2.4006 | 1.28 | 2000 | 2.4163 |
| 2.3405 | 1.6 | 2500 | 2.3530 |
| 2.3185 | 1.92 | 3000 | 2.3148 |
| 2.2378 | 2.24 | 3500 | 2.2775 |
| 2.1804 | 2.56 | 4000 | 2.2529 |
| 2.1945 | 2.88 | 4500 | 2.2376 |
### Framework versions
- Transformers 4.35.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.7
- Tokenizers 0.14.1
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