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modified-qa
This model is a fine-tuned version of indobenchmark/indobart-v2 on the squad dataset. It achieves the following results on the evaluation set:
- Loss: 3.9723
- Rouge1: 13.4458
- Rouge2: 6.819
- Rougel: 11.2064
- Rougelsum: 12.5476
- 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: 3e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 1
- label_smoothing_factor: 0.1
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 4.436 | 1.0 | 200 | 3.9723 | 13.4458 | 6.819 | 11.2064 | 12.5476 | 20.0 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.2
- Tokenizers 0.13.3
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Model tree for peterandrew987/modified-qa
Base model
indobenchmark/indobart-v2Dataset used to train peterandrew987/modified-qa
Evaluation results
- Rouge1 on squadself-reported13.446
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("peterandrew987/modified-qa") model = AutoModelForSeq2SeqLM.from_pretrained("peterandrew987/modified-qa")