metadata
library_name: transformers
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
datasets:
- arrow
model-index:
- name: bart-base-2024-09-24_11-12
results: []
bart-base-2024-09-24_11-12
This model is a fine-tuned version of facebook/bart-base on the arrow dataset. It achieves the following results on the evaluation set:
- Loss: 0.1993
- Gen Len: 20.0
- Bertscorer-p: 0.5928
- Bertscorer-r: 0.1701
- Bertscorer-f1: 0.3731
- Sacrebleu-score: 10.2541
- Sacrebleu-precisions: [90.63003300856309, 79.05155386114873, 70.66565212490137, 65.68935823527592]
- Bleu-bp: 0.1350
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: 0.0003
- 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: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Gen Len | Bertscorer-p | Bertscorer-r | Bertscorer-f1 | Sacrebleu-score | Sacrebleu-precisions | Bleu-bp |
|---|---|---|---|---|---|---|---|---|---|---|
| 0.189 | 1.0 | 4772 | 0.1993 | 20.0 | 0.5928 | 0.1701 | 0.3731 | 10.2541 | [90.63003300856309, 79.05155386114873, 70.66565212490137, 65.68935823527592] | 0.1350 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1