File size: 2,408 Bytes
490ec22 472f554 490ec22 472f554 490ec22 472f554 490ec22 472f554 490ec22 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 |
---
license: mit
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: tests
results: []
---
<!-- 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. -->
# tests
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2590
- F1: 0.6703
## 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: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- 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 | F1 |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log | 1.0 | 65 | 1.6059 | 0.4378 |
| No log | 2.0 | 130 | 1.1745 | 0.5973 |
| No log | 3.0 | 195 | 1.1097 | 0.6622 |
| No log | 4.0 | 260 | 1.1188 | 0.6459 |
| No log | 5.0 | 325 | 1.2955 | 0.6324 |
| No log | 6.0 | 390 | 1.5177 | 0.6541 |
| No log | 7.0 | 455 | 1.8703 | 0.6189 |
| 0.6433 | 8.0 | 520 | 1.7936 | 0.6486 |
| 0.6433 | 9.0 | 585 | 1.9287 | 0.6459 |
| 0.6433 | 10.0 | 650 | 1.9884 | 0.6595 |
| 0.6433 | 11.0 | 715 | 2.0985 | 0.6568 |
| 0.6433 | 12.0 | 780 | 2.1248 | 0.6730 |
| 0.6433 | 13.0 | 845 | 2.1511 | 0.6676 |
| 0.6433 | 14.0 | 910 | 2.2218 | 0.6622 |
| 0.6433 | 15.0 | 975 | 2.2069 | 0.6703 |
| 0.0065 | 16.0 | 1040 | 2.2273 | 0.6676 |
| 0.0065 | 17.0 | 1105 | 2.2626 | 0.6649 |
| 0.0065 | 18.0 | 1170 | 2.2593 | 0.6703 |
| 0.0065 | 19.0 | 1235 | 2.2577 | 0.6703 |
| 0.0065 | 20.0 | 1300 | 2.2590 | 0.6703 |
### Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
|