Downloads · 30 days
3
21% of all-time downloads
t5_es_weight_1_2
CatBarks/t5_es_weight_1_2
t5_es_weight_1_2 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. --
All-time downloads
14
Public
Parameters
223M
1.8 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors894 MB · 100%
At a glance
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Jan 16, 2025
- Updated
- Feb 6, 2025
- SHA
- 885b1291
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_2
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: 0.0240
- Accuracy: 0.996
- F1: 0.9962
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 |
|---|---|---|---|---|---|
| 0.7079 | 6.8817 | 50 | 0.6695 | 0.6055 | 0.5244 |
| 0.641 | 13.7634 | 100 | 0.4996 | 0.914 | 0.9185 |
| 0.2943 | 20.6452 | 150 | 0.0949 | 0.968 | 0.9698 |
| 0.0706 | 27.5269 | 200 | 0.0488 | 0.983 | 0.9840 |
| 0.0337 | 34.4086 | 250 | 0.0303 | 0.99 | 0.9906 |
| 0.0187 | 41.2903 | 300 | 0.0206 | 0.993 | 0.9934 |
| 0.0106 | 48.1720 | 350 | 0.0178 | 0.994 | 0.9944 |
| 0.0058 | 55.0538 | 400 | 0.0176 | 0.9955 | 0.9958 |
| 0.0033 | 61.9355 | 450 | 0.0177 | 0.9965 | 0.9967 |
| 0.002 | 68.8172 | 500 | 0.0201 | 0.9945 | 0.9948 |
| 0.0013 | 75.6989 | 550 | 0.0228 | 0.9945 | 0.9948 |
| 0.0008 | 82.5806 | 600 | 0.0246 | 0.9955 | 0.9958 |
| 0.0008 | 89.4624 | 650 | 0.0240 | 0.996 | 0.9962 |
| 0.0007 | 96.3441 | 700 | 0.0240 | 0.996 | 0.9962 |
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 6, 2025