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---
license: apache-2.0
base_model: google-t5/t5-large
tags:
- generated_from_trainer
model-index:
- name: t5-large-multi_news
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. -->
# t5-large-multi_news
This model is a fine-tuned version of [google-t5/t5-large](https://huggingface.co./google-t5/t5-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0627
## 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: 0.001
- 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
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:------:|:---------------:|
| 2.2999 | 1.0 | 11243 | 2.1311 |
| 2.1376 | 2.0 | 22486 | 2.0726 |
| 2.0305 | 3.0 | 33729 | 2.0609 |
| 1.9771 | 4.0 | 44972 | 2.0571 |
| 1.9389 | 5.0 | 56215 | 2.0550 |
| 1.8816 | 6.0 | 67458 | 2.0551 |
| 1.8484 | 7.0 | 78701 | 2.0599 |
| 1.8248 | 8.0 | 89944 | 2.0604 |
| 1.8306 | 9.0 | 101187 | 2.0627 |
| 1.8182 | 10.0 | 112430 | 2.0627 |
### Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
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