metadata
base_model: Mousumi/finetuned_bart
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: bart_test
results: []
bart_test
This model is a fine-tuned version of Mousumi/finetuned_bart on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3363
- Bleu: 0.2728
- 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 313 | 1.3791 | 0.1806 | 20.0 |
| 1.6735 | 2.0 | 626 | 1.3363 | 0.2728 | 20.0 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0