metadata
base_model: google/pegasus-xsum
tags:
- generated_from_trainer
model-index:
- name: food-intent-pegasus-base
results: []
food-intent-pegasus-base
This model is a fine-tuned version of google/pegasus-xsum on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3188
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-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
- lr_scheduler_warmup_steps: 500
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2463 | 0.14 | 20 | 0.3228 |
| 0.2748 | 0.28 | 40 | 0.3226 |
| 0.2167 | 0.42 | 60 | 0.3221 |
| 0.3046 | 0.56 | 80 | 0.3212 |
| 0.3236 | 0.69 | 100 | 0.3205 |
| 0.2835 | 0.83 | 120 | 0.3192 |
| 0.3414 | 0.97 | 140 | 0.3188 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0