File size: 1,977 Bytes
a210231 |
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 |
---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: polish-gpt2-small-reviews-2024-01-14
results: []
license: mit
language:
- pl
---
<!-- 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. -->
# polish-gpt2-small-reviews-2024-01-14
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4659
- Accuracy: 0.9627
## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.4049 | 1.0 | 3284 | 0.3351 | 0.8792 |
| 0.1885 | 2.0 | 6568 | 0.2625 | 0.9218 |
| 0.1182 | 3.0 | 9852 | 0.2583 | 0.9419 |
| 0.0825 | 4.0 | 13136 | 0.2886 | 0.9482 |
| 0.0586 | 5.0 | 16420 | 0.3343 | 0.9538 |
| 0.034 | 6.0 | 19704 | 0.3734 | 0.9595 |
| 0.0288 | 7.0 | 22988 | 0.4125 | 0.9599 |
| 0.0185 | 8.0 | 26273 | 0.4262 | 0.9626 |
| 0.0069 | 9.0 | 29557 | 0.4529 | 0.9622 |
| 0.0059 | 10.0 | 32840 | 0.4659 | 0.9627 |
### Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0 |