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---
base_model: MurkatG/review-summarizer-en
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: xl_sum_model_1
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. -->
# xl_sum_model_1
This model is a fine-tuned version of [MurkatG/review-summarizer-en](https://huggingface.co/MurkatG/review-summarizer-en) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3552
- Rouge1: 0.2056
- Rouge2: 0.0331
- Rougel: 0.1587
- Rougelsum: 0.1587
- Gen Len: 18.844
## 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: 16
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 4.5212 | 1.0 | 625 | 3.4162 | 0.1983 | 0.0327 | 0.1559 | 0.1561 | 18.819 |
| 4.3017 | 2.0 | 1250 | 3.3552 | 0.2056 | 0.0331 | 0.1587 | 0.1587 | 18.844 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cpu
- Datasets 2.15.0
- Tokenizers 0.15.0
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