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---
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flux-dsum-small
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. -->
# flux-dsum-small
This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8477
- Rouge1: 0.3156
- Rouge2: 0.1379
- Rougel: 0.2767
- Rougelsum: 0.2765
- Gen Len: 17.5537
## 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: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 2.5294 | 1.0 | 21753 | 1.9915 | 0.3065 | 0.1264 | 0.27 | 0.2699 | 17.385 |
| 2.336 | 2.0 | 43506 | 1.8991 | 0.3085 | 0.1345 | 0.2702 | 0.2701 | 17.6597 |
| 2.2611 | 3.0 | 65259 | 1.8602 | 0.3138 | 0.1363 | 0.2765 | 0.2763 | 17.5347 |
| 2.2107 | 4.0 | 87012 | 1.8477 | 0.3156 | 0.1379 | 0.2767 | 0.2765 | 17.5537 |
### Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1
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