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---
tags:
- generated_from_trainer
datasets:
- null
model_index:
- name: bart-mlm
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
---
<!-- 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. -->
# bart-mlm
This model is a fine-tuned version of [mwesner/bart-mlm](https://huggingface.co/mwesner/bart-mlm) on the CNN/Dailymail dataset.
It achieves the following results on the evaluation set:
- Loss: 7.5338
## 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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_steps: 500
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 7.5202 | 1.0 | 15237 | 7.5964 |
| 7.5151 | 2.0 | 30474 | 7.5400 |
| 7.5157 | 3.0 | 45711 | 7.5351 |
| 7.5172 | 4.0 | 60948 | 7.5317 |
| 7.5108 | 5.0 | 76185 | 7.5338 |
### Framework versions
- Transformers 4.8.1
- Pytorch 1.9.0
- Datasets 1.11.0
- Tokenizers 0.10.3
|