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library_name: transformers
license: apache-2.0
base_model: google-t5/t5-large
tags:
- generated_from_trainer
datasets:
- generator
metrics:
- rouge
model-index:
- name: summarise_cy
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: generator
type: generator
config: default
split: train
args: default
metrics:
- name: Rouge1
type: rouge
value: 0.1434
---
<!-- 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. -->
# summarise_cy
This model is a fine-tuned version of [google-t5/t5-large](https://huggingface.co/google-t5/t5-large) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: nan
- Rouge1: 0.1434
- Rouge2: 0.0535
- Rougel: 0.1286
- Rougelsum: 0.1287
- Gen Len: 20.0
## 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: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log | 1.0 | 410 | nan | 0.1434 | 0.0535 | 0.1286 | 0.1287 | 20.0 |
| 0.0 | 2.0 | 820 | nan | 0.1434 | 0.0535 | 0.1286 | 0.1287 | 20.0 |
| 0.0 | 3.0 | 1230 | nan | 0.1434 | 0.0535 | 0.1286 | 0.1287 | 20.0 |
| 0.0 | 4.0 | 1640 | nan | 0.1434 | 0.0535 | 0.1286 | 0.1287 | 20.0 |
| 0.0 | 5.0 | 2050 | nan | 0.1434 | 0.0535 | 0.1286 | 0.1287 | 20.0 |
| 0.0 | 6.0 | 2460 | nan | 0.1434 | 0.0535 | 0.1286 | 0.1287 | 20.0 |
| 0.0 | 7.0 | 2870 | nan | 0.1434 | 0.0535 | 0.1286 | 0.1287 | 20.0 |
| 0.0 | 8.0 | 3280 | nan | 0.1434 | 0.0535 | 0.1286 | 0.1287 | 20.0 |
| 0.0 | 9.0 | 3690 | nan | 0.1434 | 0.0535 | 0.1286 | 0.1287 | 20.0 |
| 0.0 | 10.0 | 4100 | nan | 0.1434 | 0.0535 | 0.1286 | 0.1287 | 20.0 |
### Framework versions
- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1
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