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flan_t5_small_squadv2_lora
NebulaByte/flan_t5_small_squadv2_lora
flan_t5_small_squadv2_lora is a machine learning model from NebulaByte. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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Public
Updated Oct 27, 2023
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Oct 27, 2023
- Updated
- Oct 27, 2023
- SHA
- ae5e1d6f
Base models
Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
flan_t5_small_squadv2_lora
This model is a fine-tuned version of google/flan-t5-small on the squad_v2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.3268
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: 0.001
- train_batch_size: 12
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5656 | 0.13 | 100 | 0.3493 |
| 0.5393 | 0.27 | 200 | 0.3458 |
| 0.5403 | 0.4 | 300 | 0.3352 |
| 0.5289 | 0.53 | 400 | 0.3476 |
| 0.5111 | 0.67 | 500 | 0.3273 |
| 0.5146 | 0.8 | 600 | 0.3280 |
| 0.4717 | 0.93 | 700 | 0.3268 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
- License
- apache-2.0
- Created
- Oct 27, 2023
- Updated
- Oct 27, 2023