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DS-Chatbot-ViT5-finetune_3
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4954
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: 5e-06
- train_batch_size: 8
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 200
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.447 | 0.96 | 400 | 0.5042 |
| 0.4157 | 1.93 | 800 | 0.5016 |
| 0.4038 | 2.89 | 1200 | 0.4990 |
| 0.4078 | 3.86 | 1600 | 0.4966 |
| 0.4161 | 4.82 | 2000 | 0.4954 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu117
- Datasets 2.13.0
- Tokenizers 0.13.3
