metadata
license: mit
base_model: october-sd/mbart-large-50-finetuned-latest3
tags:
- summarization
- generated_from_trainer
model-index:
- name: mbart-large-50-finetuned-8
results: []
mbart-large-50-finetuned-8
This model is a fine-tuned version of october-sd/mbart-large-50-finetuned-latest3 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.4685
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: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 183 | 2.4781 |
| No log | 2.0 | 367 | 2.4710 |
| No log | 3.0 | 550 | 2.4703 |
| No log | 3.99 | 732 | 2.4685 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.15.0
- Tokenizers 0.15.2