metadata
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
model-index:
- name: flan-t5-ellis
results: []
flan-t5-ellis
This model is a fine-tuned version of google/flan-t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8109
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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.995 | 9.96 | 500 | 0.8963 |
| 0.7497 | 19.93 | 1000 | 0.7965 |
| 0.6163 | 29.89 | 1500 | 0.7912 |
| 0.5471 | 39.85 | 2000 | 0.8116 |
| 0.5249 | 49.81 | 2500 | 0.8109 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.1.0+cu121
- Datasets 2.13.0
- Tokenizers 0.13.3