results2
This model is a fine-tuned version of facebook/blenderbot-400M-distill on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0630
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: 1e-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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 26 | 3.9721 |
| No log | 2.0 | 52 | 1.7472 |
| No log | 3.0 | 78 | 1.2047 |
| No log | 4.0 | 104 | 1.0630 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2