metadata
library_name: transformers
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
model-index:
- name: ff-en
results: []
ff-en
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8258
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 8.2472 | 1.0 | 20 | 3.2102 |
| 2.8238 | 2.0 | 40 | 1.2139 |
| 1.7661 | 3.0 | 60 | 1.1075 |
| 1.4094 | 4.0 | 80 | 1.0537 |
| 1.2869 | 5.0 | 100 | 1.0106 |
| 1.2366 | 6.0 | 120 | 0.9804 |
| 1.1731 | 7.0 | 140 | 0.9549 |
| 1.1356 | 8.0 | 160 | 0.9422 |
| 1.1196 | 9.0 | 180 | 0.9286 |
| 1.031 | 10.0 | 200 | 0.9169 |
| 1.0438 | 11.0 | 220 | 0.9014 |
| 1.0231 | 12.0 | 240 | 0.9007 |
| 1.0015 | 13.0 | 260 | 0.8829 |
| 0.9908 | 14.0 | 280 | 0.8803 |
| 0.995 | 15.0 | 300 | 0.8689 |
| 0.951 | 16.0 | 320 | 0.8638 |
| 0.948 | 17.0 | 340 | 0.8601 |
| 0.9157 | 18.0 | 360 | 0.8551 |
| 0.9074 | 19.0 | 380 | 0.8519 |
| 0.9021 | 20.0 | 400 | 0.8506 |
| 0.8898 | 21.0 | 420 | 0.8472 |
| 0.8842 | 22.0 | 440 | 0.8448 |
| 0.9024 | 23.0 | 460 | 0.8437 |
| 0.858 | 24.0 | 480 | 0.8403 |
| 0.8801 | 25.0 | 500 | 0.8381 |
| 0.8441 | 26.0 | 520 | 0.8375 |
| 0.8379 | 27.0 | 540 | 0.8358 |
| 0.8403 | 28.0 | 560 | 0.8344 |
| 0.8615 | 29.0 | 580 | 0.8333 |
| 0.8697 | 30.0 | 600 | 0.8327 |
| 0.8403 | 31.0 | 620 | 0.8314 |
| 0.8373 | 32.0 | 640 | 0.8299 |
| 0.8094 | 33.0 | 660 | 0.8292 |
| 0.8023 | 34.0 | 680 | 0.8291 |
| 0.8426 | 35.0 | 700 | 0.8289 |
| 0.8275 | 36.0 | 720 | 0.8281 |
| 0.8177 | 37.0 | 740 | 0.8278 |
| 0.8183 | 38.0 | 760 | 0.8266 |
| 0.8058 | 39.0 | 780 | 0.8262 |
| 0.7929 | 40.0 | 800 | 0.8263 |
| 0.8218 | 41.0 | 820 | 0.8261 |
| 0.8198 | 42.0 | 840 | 0.8261 |
| 0.7957 | 43.0 | 860 | 0.8259 |
| 0.7966 | 44.0 | 880 | 0.8260 |
| 0.7941 | 45.0 | 900 | 0.8260 |
| 0.7771 | 46.0 | 920 | 0.8261 |
| 0.7883 | 47.0 | 940 | 0.8260 |
| 0.8113 | 48.0 | 960 | 0.8259 |
| 0.8155 | 49.0 | 980 | 0.8258 |
| 0.7782 | 50.0 | 1000 | 0.8258 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.19.1