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---
library_name: transformers
license: mit
base_model: facebook/bart-large-xsum
tags:
- generated_from_trainer
model-index:
- name: mt5-tr-sci-ms-hi
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-tr-sci-ms-hi
This model is a fine-tuned version of [facebook/bart-large-xsum](https://huggingface.co/facebook/bart-large-xsum) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6893
## 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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.8353 | 1.0 | 1092 | 0.8242 |
| 0.7147 | 2.0 | 2184 | 0.7895 |
| 0.6406 | 3.0 | 3276 | 0.7240 |
| 0.5895 | 4.0 | 4368 | 0.6920 |
| 0.5481 | 5.0 | 5460 | 0.7009 |
| 0.5175 | 6.0 | 6552 | 0.6893 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.3.1.post300
- Datasets 2.19.1
- Tokenizers 0.19.1
|