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# mt5-largeV_18026

This model is a fine-tuned version of [google/mt5-large](https://huggingface.co/google/mt5-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7445
- Rouge1: 14.5109
- Rouge2: 6.5704
- Rougel: 12.1998
- Rougelsum: 13.7257
- Gen Len: 19.0

## 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: 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 237  | 8.1337          | 12.0151 | 2.7516 | 8.9518  | 11.212    | 19.0    |
| No log        | 2.0   | 475  | 1.9726          | 12.3396 | 4.4477 | 9.9282  | 11.4992   | 19.0    |
| 13.8663       | 3.0   | 712  | 1.8320          | 13.3521 | 5.359  | 10.8084 | 12.5108   | 19.0    |
| 13.8663       | 4.0   | 950  | 1.8155          | 14.5424 | 6.3812 | 12.1205 | 13.6956   | 19.0    |
| 2.1575        | 5.0   | 1187 | 1.7711          | 14.4144 | 6.3977 | 12.12   | 13.5416   | 19.0    |
| 2.1575        | 6.0   | 1425 | 1.7606          | 14.7356 | 6.7247 | 12.3637 | 13.7734   | 19.0    |
| 1.9399        | 7.0   | 1662 | 1.7655          | 14.6579 | 6.7    | 12.3206 | 13.7722   | 19.0    |
| 1.9399        | 8.0   | 1900 | 1.7478          | 14.5584 | 6.5585 | 12.2431 | 13.7458   | 19.0    |
| 1.8437        | 9.0   | 2137 | 1.7381          | 14.8152 | 6.7649 | 12.4934 | 14.0304   | 19.0    |
| 1.8437        | 10.0  | 2375 | 1.7401          | 14.5267 | 6.5966 | 12.2184 | 13.7485   | 19.0    |
| 1.7829        | 10.98 | 2607 | 1.7445          | 14.5109 | 6.5704 | 12.1998 | 13.7257   | 19.0    |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "google/mt5-large", "model-index": [{"name": "mt5-largeV_18026", "results": []}]}
transformers safetensors mt5 text2text-generation generated_from_trainer base_model:google/mt5-large license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us