args-mem-base-2
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: 0.0044
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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 |
|---|---|---|---|
| 0.0088 | 1.0 | 13584 | 0.0057 |
| 0.0067 | 2.0 | 27168 | 0.0048 |
| 0.0059 | 3.0 | 40752 | 0.0044 |
| 0.0055 | 4.0 | 54336 | 0.0044 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.17.0
- Tokenizers 0.15.2
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Model tree for eddieman78/args-mem-base-2
Base model
google/flan-t5-base