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FingerFriend-t5-base
The following hyperparameters were used during training:
- learning_rate: 2e-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
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.87 | 1.0 | 683 | 0.5576 |
| 0.5197 | 2.0 | 1366 | 0.4856 |
| 0.4303 | 3.0 | 2049 | 0.4572 |
| 0.373 | 4.0 | 2732 | 0.4446 |
| 0.332 | 5.0 | 3415 | 0.4330 |
| 0.2961 | 6.0 | 4098 | 0.4322 |
| 0.2673 | 7.0 | 4781 | 0.4406 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
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Base model
eenzeenee/t5-base-korean-summarization
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("a2ran/FingerFriend-t5-base") model = AutoModelForSeq2SeqLM.from_pretrained("a2ran/FingerFriend-t5-base")