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synpre_mix_v1_1M_t5-small
This model is a fine-tuned version of t5-small on the tyzhu/synpre_mix_v1_1M dataset. It achieves the following results on the evaluation set:
- Loss: 0.0410
- Bleu: 96.6156
- Gen Len: 77.3534
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: 0.0001
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 10000
- training_steps: 80000
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 9.4619 | 0.64 | 5000 | 9.3641 | 0.1465 | 180.5239 |
| 9.0544 | 1.28 | 10000 | 8.9063 | 1.0907 | 62.4499 |
| 7.7965 | 1.92 | 15000 | 6.9912 | 3.0144 | 42.4833 |
| 0.5652 | 2.56 | 20000 | 0.2051 | 80.5252 | 86.4282 |
| 0.0696 | 3.2 | 25000 | 0.0410 | 96.6156 | 77.3534 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.5
- Tokenizers 0.14.1
