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# mt5-large_V8901_V89881

This model is a fine-tuned version of [emilstabil/mt5-large_V8901](https://huggingface.co/emilstabil/mt5-large_V8901) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7699
- Rouge1: 27.4218
- Rouge2: 9.9757
- Rougel: 15.034
- Rougelsum: 25.6557
- Gen Len: 542.2616

## 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: 3e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 11

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len  |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:--------:|
| 3.5194        | 2.11  | 500  | 2.0126          | 26.5426 | 9.1387 | 14.0294 | 24.8851   | 547.0    |
| 2.5168        | 4.21  | 1000 | 1.8798          | 27.1959 | 9.8737 | 14.6794 | 25.5359   | 547.0    |
| 2.1275        | 6.32  | 1500 | 1.8062          | 27.3601 | 9.9172 | 14.9859 | 25.5846   | 543.2152 |
| 1.9746        | 8.42  | 2000 | 1.7772          | 27.1321 | 9.8267 | 15.0547 | 25.4467   | 542.2278 |
| 1.9195        | 10.53 | 2500 | 1.7699          | 27.4218 | 9.9757 | 15.034  | 25.6557   | 542.2616 |


### Framework versions

- Transformers 4.30.2
- Pytorch 1.12.1+git7548e2f
- Datasets 2.13.2
- Tokenizers 0.13.3

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "model-index": [{"name": "mt5-large_V8901_V89881", "results": []}]}
transformers pytorch tensorboard mt5 text2text-generation generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us