Downloads · 30 days
6
2% of all-time downloads
flan-t5-small-absa-rest
Shakhovak/flan-t5-small-absa-rest
flan-t5-small-absa-rest is a machine learning model from Shakhovak. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
251
Public
Parameters
77M
616 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors308 MB · 99%
At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Mar 13, 2024
- Updated
- Mar 13, 2024
- SHA
- 5fd7bce1
Base models
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-absa-rest
This model is a fine-tuned version of google/flan-t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2865
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.6057 | 0.52 | 100 | 1.0232 |
| 1.0344 | 1.05 | 200 | 0.4973 |
| 0.7178 | 1.57 | 300 | 0.4004 |
| 0.619 | 2.09 | 400 | 0.3607 |
| 0.5466 | 2.62 | 500 | 0.3492 |
| 0.5277 | 3.14 | 600 | 0.3245 |
| 0.4775 | 3.66 | 700 | 0.3175 |
| 0.4823 | 4.19 | 800 | 0.3090 |
| 0.4406 | 4.71 | 900 | 0.3035 |
| 0.454 | 5.24 | 1000 | 0.2995 |
| 0.4108 | 5.76 | 1100 | 0.2960 |
| 0.4101 | 6.28 | 1200 | 0.2940 |
| 0.4016 | 6.81 | 1300 | 0.2901 |
| 0.3888 | 7.33 | 1400 | 0.2868 |
| 0.3815 | 7.85 | 1500 | 0.2865 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.0.1+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Mar 13, 2024
- Updated
- Mar 13, 2024