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t5-base-end2end-chatbot-generative
This model is a fine-tuned version of t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.2862
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
2.9798 | 0.16 | 100 | 2.3931 |
2.5123 | 0.32 | 200 | 2.3369 |
2.4637 | 0.49 | 300 | 2.3161 |
2.4375 | 0.65 | 400 | 2.2978 |
2.4091 | 0.81 | 500 | 2.2896 |
2.4111 | 0.97 | 600 | 2.2862 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.1
- Tokenizers 0.13.3