Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use Ashraf-CK/Testing-t5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ashraf-CK/Testing-t5 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Ashraf-CK/Testing-t5") model = AutoModelForSeq2SeqLM.from_pretrained("Ashraf-CK/Testing-t5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
|
Download README.md from Ashraf-CK/Testing-t5: direct link, hf CLI and curl.
- Browser
- Download file 2.15 kB
-
https://huggingface.co/Ashraf-CK/Testing-t5/resolve/main/README.md
- Command line
-
hf download hf://Ashraf-CK/Testing-t5/README.md
-
curl -L -o README.md https://huggingface.co/Ashraf-CK/Testing-t5/resolve/main/README.md
2.15 kB
metadata
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: Testing-t5
results: []
Testing-t5
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3656
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: 1e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 282 | 0.4660 |
| 0.5546 | 2.0 | 564 | 0.4258 |
| 0.5546 | 3.0 | 846 | 0.4089 |
| 0.4368 | 4.0 | 1128 | 0.3977 |
| 0.4368 | 5.0 | 1410 | 0.3911 |
| 0.4116 | 6.0 | 1692 | 0.3860 |
| 0.4116 | 7.0 | 1974 | 0.3812 |
| 0.3957 | 8.0 | 2256 | 0.3783 |
| 0.3872 | 9.0 | 2538 | 0.3754 |
| 0.3872 | 10.0 | 2820 | 0.3736 |
| 0.3806 | 11.0 | 3102 | 0.3717 |
| 0.3806 | 12.0 | 3384 | 0.3707 |
| 0.3737 | 13.0 | 3666 | 0.3691 |
| 0.3737 | 14.0 | 3948 | 0.3682 |
| 0.3693 | 15.0 | 4230 | 0.3675 |
| 0.367 | 16.0 | 4512 | 0.3667 |
| 0.367 | 17.0 | 4794 | 0.3662 |
| 0.3655 | 18.0 | 5076 | 0.3659 |
| 0.3655 | 19.0 | 5358 | 0.3657 |
| 0.3605 | 20.0 | 5640 | 0.3656 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1