File size: 1,772 Bytes
f412b6e 5748f1d 3291ce3 f412b6e 3291ce3 f412b6e 3291ce3 f412b6e 3291ce3 a3b7dd2 3291ce3 a3b7dd2 f412b6e 3291ce3 f412b6e 3291ce3 f412b6e 3291ce3 f412b6e 3291ce3 f412b6e 3291ce3 f412b6e 3291ce3 f412b6e |
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 |
---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: uzroberta-sentiment-analysis
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. -->
# uzroberta-sentiment-analysis
This model is a fine-tuned version of [rifkat/uztext-3Gb-BPE-Roberta](https://huggingface.co/rifkat/uztext-3Gb-BPE-Roberta) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0473
- Accuracy: 0.8257
- F1: 0.8287
## 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: 2e-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: 6
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.3411 | 1.0 | 1156 | 0.4061 | 0.8276 | 0.8303 |
| 0.2319 | 2.0 | 2312 | 0.4074 | 0.8336 | 0.8359 |
| 0.1629 | 3.0 | 3468 | 0.5250 | 0.8394 | 0.8416 |
| 0.1082 | 4.0 | 4624 | 0.8780 | 0.8180 | 0.8219 |
| 0.0712 | 5.0 | 5780 | 0.9741 | 0.8321 | 0.8349 |
| 0.0537 | 6.0 | 6936 | 1.0473 | 0.8257 | 0.8287 |
### Framework versions
- Transformers 4.27.3
- Pytorch 2.0.0+cu117
- Datasets 2.11.0
- Tokenizers 0.12.1
|