metadata
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
model-index:
- name: flan-t5-base-sentiment-product-review
results: []
flan-t5-base-sentiment-product-review
This model is a fine-tuned version of google/flan-t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.8071
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: 0.0003
- train_batch_size: 16
- 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 |
|---|---|---|---|
| No log | 1.0 | 33 | 1.0479 |
| No log | 2.0 | 66 | 0.9240 |
| No log | 3.0 | 99 | 0.8648 |
| No log | 4.0 | 132 | 0.8438 |
| No log | 5.0 | 165 | 0.8455 |
| No log | 6.0 | 198 | 0.8540 |
| No log | 7.0 | 231 | 0.8791 |
| No log | 8.0 | 264 | 0.8509 |
| No log | 9.0 | 297 | 0.9104 |
| No log | 10.0 | 330 | 0.9554 |
| No log | 11.0 | 363 | 0.9345 |
| No log | 12.0 | 396 | 0.9797 |
| No log | 13.0 | 429 | 0.9809 |
| No log | 14.0 | 462 | 1.0556 |
| No log | 15.0 | 495 | 1.1264 |
| 0.5004 | 16.0 | 528 | 1.1426 |
| 0.5004 | 17.0 | 561 | 1.2255 |
| 0.5004 | 18.0 | 594 | 1.2086 |
| 0.5004 | 19.0 | 627 | 1.2068 |
| 0.5004 | 20.0 | 660 | 1.2919 |
| 0.5004 | 21.0 | 693 | 1.3547 |
| 0.5004 | 22.0 | 726 | 1.3276 |
| 0.5004 | 23.0 | 759 | 1.3597 |
| 0.5004 | 24.0 | 792 | 1.4057 |
| 0.5004 | 25.0 | 825 | 1.4212 |
| 0.5004 | 26.0 | 858 | 1.5188 |
| 0.5004 | 27.0 | 891 | 1.5569 |
| 0.5004 | 28.0 | 924 | 1.5158 |
| 0.5004 | 29.0 | 957 | 1.5191 |
| 0.5004 | 30.0 | 990 | 1.5202 |
| 0.0793 | 31.0 | 1023 | 1.6140 |
| 0.0793 | 32.0 | 1056 | 1.6112 |
| 0.0793 | 33.0 | 1089 | 1.5900 |
| 0.0793 | 34.0 | 1122 | 1.6162 |
| 0.0793 | 35.0 | 1155 | 1.6261 |
| 0.0793 | 36.0 | 1188 | 1.6229 |
| 0.0793 | 37.0 | 1221 | 1.7149 |
| 0.0793 | 38.0 | 1254 | 1.7149 |
| 0.0793 | 39.0 | 1287 | 1.7502 |
| 0.0793 | 40.0 | 1320 | 1.7334 |
| 0.0793 | 41.0 | 1353 | 1.7409 |
| 0.0793 | 42.0 | 1386 | 1.7161 |
| 0.0793 | 43.0 | 1419 | 1.7235 |
| 0.0793 | 44.0 | 1452 | 1.7554 |
| 0.0793 | 45.0 | 1485 | 1.7640 |
| 0.0263 | 46.0 | 1518 | 1.7779 |
| 0.0263 | 47.0 | 1551 | 1.7784 |
| 0.0263 | 48.0 | 1584 | 1.7979 |
| 0.0263 | 49.0 | 1617 | 1.8056 |
| 0.0263 | 50.0 | 1650 | 1.8071 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0