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---
license: apache-2.0
base_model: google/mt5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mT5-TextSimp-LT-BatchSize8-lr5e-5
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. -->
# mT5-TextSimp-LT-BatchSize8-lr5e-5
This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0969
- Rouge1: 0.6185
- Rouge2: 0.4427
- Rougel: 0.6087
- Gen Len: 38.0501
## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 8
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:-------:|
| 32.3498 | 0.96 | 200 | 26.0719 | 0.0008 | 0.0 | 0.0008 | 512.0 |
| 5.8297 | 1.91 | 400 | 4.1306 | 0.0059 | 0.0 | 0.0058 | 45.0573 |
| 0.7087 | 2.87 | 600 | 0.6039 | 0.003 | 0.0 | 0.0029 | 39.0501 |
| 0.4166 | 3.83 | 800 | 0.1958 | 0.3954 | 0.2416 | 0.3823 | 39.0501 |
| 0.2193 | 4.78 | 1000 | 0.1172 | 0.5244 | 0.3536 | 0.514 | 38.0501 |
| 0.1371 | 5.74 | 1200 | 0.1029 | 0.5936 | 0.4122 | 0.5839 | 38.0501 |
| 0.1971 | 6.7 | 1400 | 0.0974 | 0.6077 | 0.4302 | 0.5984 | 38.0501 |
| 0.1653 | 7.66 | 1600 | 0.0969 | 0.6185 | 0.4427 | 0.6087 | 38.0501 |
### Framework versions
- Transformers 4.36.2
- Pytorch 2.1.1
- Datasets 2.16.1
- Tokenizers 0.15.0
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