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t5_es_weight_1_1
CatBarks/t5_es_weight_1_1
t5_es_weight_1_1 is a machine learning model from CatBarks. 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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At a glance
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Jan 16, 2025
- Updated
- Feb 5, 2025
- SHA
- 0afb47d5
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. -->
t5_es_weight_1_1
This model is a fine-tuned version of google-t5/t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0199
- Accuracy: 0.997
- F1: 0.9972
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: 0.0001
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 64
- total_train_batch_size: 4096
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 100
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.7055 | 6.8817 | 50 | 0.6709 | 0.683 | 0.6814 |
| 0.6291 | 13.7634 | 100 | 0.4688 | 0.885 | 0.8858 |
| 0.2722 | 20.6452 | 150 | 0.0787 | 0.976 | 0.9775 |
| 0.0603 | 27.5269 | 200 | 0.0449 | 0.986 | 0.9868 |
| 0.0293 | 34.4086 | 250 | 0.0266 | 0.9925 | 0.9929 |
| 0.0164 | 41.2903 | 300 | 0.0167 | 0.9955 | 0.9958 |
| 0.0085 | 48.1720 | 350 | 0.0146 | 0.997 | 0.9972 |
| 0.0045 | 55.0538 | 400 | 0.0155 | 0.9965 | 0.9967 |
| 0.003 | 61.9355 | 450 | 0.0152 | 0.9965 | 0.9967 |
| 0.002 | 68.8172 | 500 | 0.0170 | 0.997 | 0.9972 |
| 0.0015 | 75.6989 | 550 | 0.0193 | 0.9965 | 0.9967 |
| 0.0011 | 82.5806 | 600 | 0.0163 | 0.997 | 0.9972 |
| 0.0009 | 89.4624 | 650 | 0.0200 | 0.997 | 0.9972 |
| 0.0006 | 96.3441 | 700 | 0.0199 | 0.997 | 0.9972 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.19.1
- Type
- t5
- License
- apache-2.0
- Created
- Jan 16, 2025
- Updated
- Feb 5, 2025