food-intent-t5-base
This model is a fine-tuned version of google/flan-t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.5854
- eval_runtime: 1.6937
- eval_samples_per_second: 77.344
- eval_steps_per_second: 19.484
- epoch: 4.86
- step: 900
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: 5
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
- Downloads last month
- 10
Inference API (serverless) is not available, repository is disabled.
Model tree for odunola/food-intent-t5-base
Base model
google/flan-t5-base
Finetuned
this model