File size: 1,482 Bytes
e1b9c1e 02eeed4 e1b9c1e bb64fe1 e1b9c1e 02eeed4 e1b9c1e bb64fe1 e1b9c1e bb64fe1 e1b9c1e |
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 |
---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: da-sentiment
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. -->
# da-sentiment
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5520
- Accuracy: 0.8991
## 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: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 1.0 | 67 | 0.5258 | 0.8935 |
| 0.0073 | 2.0 | 134 | 0.5262 | 0.8972 |
| 0.0073 | 3.0 | 201 | 0.5408 | 0.8972 |
| 0.0053 | 4.0 | 268 | 0.5494 | 0.8991 |
| 0.0053 | 5.0 | 335 | 0.5520 | 0.8991 |
### Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
|