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---
base_model: razent/SciFive-base-Pubmed_PMC
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: scifive_seven_epoch
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. -->
# scifive_seven_epoch
This model is a fine-tuned version of [razent/SciFive-base-Pubmed_PMC](https://huggingface.co/razent/SciFive-base-Pubmed_PMC) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8379
- Rouge1: 0.3666
- Rouge2: 0.2139
- Rougel: 0.307
- Rougelsum: 0.3084
- Gen Len: 17.53
## 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: 4
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log | 1.0 | 275 | 2.2065 | 0.2714 | 0.1462 | 0.2336 | 0.2327 | 17.09 |
| 2.4022 | 2.0 | 550 | 1.9771 | 0.339 | 0.1958 | 0.2907 | 0.2911 | 17.76 |
| 2.4022 | 3.0 | 825 | 1.9156 | 0.3652 | 0.2128 | 0.3035 | 0.3046 | 17.73 |
| 1.8204 | 4.0 | 1100 | 1.8698 | 0.37 | 0.2197 | 0.3103 | 0.3102 | 17.37 |
| 1.8204 | 5.0 | 1375 | 1.8525 | 0.3638 | 0.2103 | 0.3042 | 0.3049 | 17.65 |
| 1.694 | 6.0 | 1650 | 1.8384 | 0.3713 | 0.2175 | 0.3104 | 0.3113 | 17.55 |
| 1.694 | 7.0 | 1925 | 1.8379 | 0.3666 | 0.2139 | 0.307 | 0.3084 | 17.53 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
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