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t5_es_weight_1_4
CatBarks/t5_es_weight_1_4
t5_es_weight_1_4 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 17, 2025
- Updated
- Feb 6, 2025
- SHA
- 14613bfc
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_4
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: 0.0494
- Accuracy: 0.991
- F1: 0.9915
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 |
|---|---|---|---|---|---|
| 0.7041 | 6.8817 | 50 | 0.6701 | 0.706 | 0.7330 |
| 0.6404 | 13.7634 | 100 | 0.4985 | 0.832 | 0.8397 |
| 0.3013 | 20.6452 | 150 | 0.1406 | 0.9535 | 0.9555 |
| 0.0832 | 27.5269 | 200 | 0.0844 | 0.9745 | 0.9757 |
| 0.041 | 34.4086 | 250 | 0.0555 | 0.9835 | 0.9844 |
| 0.0226 | 41.2903 | 300 | 0.0494 | 0.9845 | 0.9853 |
| 0.0126 | 48.1720 | 350 | 0.0315 | 0.99 | 0.9906 |
| 0.0075 | 55.0538 | 400 | 0.0241 | 0.9945 | 0.9948 |
| 0.0045 | 61.9355 | 450 | 0.0380 | 0.9915 | 0.9920 |
| 0.0025 | 68.8172 | 500 | 0.0324 | 0.9925 | 0.9929 |
| 0.0018 | 75.6989 | 550 | 0.0487 | 0.9905 | 0.9910 |
| 0.0016 | 82.5806 | 600 | 0.0395 | 0.992 | 0.9925 |
| 0.0011 | 89.4624 | 650 | 0.0409 | 0.993 | 0.9934 |
| 0.0011 | 96.3441 | 700 | 0.0494 | 0.991 | 0.9915 |
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 17, 2025
- Updated
- Feb 6, 2025