File size: 3,928 Bytes
c94a99f |
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 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 |
---
library_name: transformers
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilbert-text-classifier
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. -->
# distilbert-text-classifier
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2758
- Accuracy: 0.9174
## 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 40
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.3169 | 1.0 | 632 | 0.2758 | 0.9174 |
| 0.1195 | 2.0 | 1264 | 0.2899 | 0.9218 |
| 0.092 | 3.0 | 1896 | 0.3103 | 0.9274 |
| 0.0951 | 4.0 | 2528 | 0.3161 | 0.9335 |
| 0.0435 | 5.0 | 3160 | 0.3640 | 0.9336 |
| 0.0294 | 6.0 | 3792 | 0.4195 | 0.9310 |
| 0.0444 | 7.0 | 4424 | 0.4745 | 0.9286 |
| 0.001 | 8.0 | 5056 | 0.4672 | 0.9355 |
| 0.0577 | 9.0 | 5688 | 0.5112 | 0.9282 |
| 0.0003 | 10.0 | 6320 | 0.4807 | 0.9362 |
| 0.0135 | 11.0 | 6952 | 0.5246 | 0.9319 |
| 0.0026 | 12.0 | 7584 | 0.5371 | 0.9345 |
| 0.0012 | 13.0 | 8216 | 0.5445 | 0.9351 |
| 0.0023 | 14.0 | 8848 | 0.5788 | 0.9335 |
| 0.0006 | 15.0 | 9480 | 0.5707 | 0.9335 |
| 0.0018 | 16.0 | 10112 | 0.5424 | 0.9375 |
| 0.0034 | 17.0 | 10744 | 0.5418 | 0.9345 |
| 0.0004 | 18.0 | 11376 | 0.5673 | 0.9389 |
| 0.0001 | 19.0 | 12008 | 0.5738 | 0.9349 |
| 0.01 | 20.0 | 12640 | 0.5651 | 0.9389 |
| 0.0011 | 21.0 | 13272 | 0.6153 | 0.9339 |
| 0.0224 | 22.0 | 13904 | 0.6216 | 0.9356 |
| 0.0001 | 23.0 | 14536 | 0.5976 | 0.9353 |
| 0.0417 | 24.0 | 15168 | 0.6134 | 0.9329 |
| 0.0 | 25.0 | 15800 | 0.5920 | 0.9377 |
| 0.0 | 26.0 | 16432 | 0.6247 | 0.9377 |
| 0.0 | 27.0 | 17064 | 0.6435 | 0.9372 |
| 0.0 | 28.0 | 17696 | 0.7084 | 0.9320 |
| 0.0 | 29.0 | 18328 | 0.7095 | 0.9343 |
| 0.0 | 30.0 | 18960 | 0.6708 | 0.9362 |
| 0.0 | 31.0 | 19592 | 0.6704 | 0.9384 |
| 0.0 | 32.0 | 20224 | 0.6665 | 0.9383 |
| 0.0 | 33.0 | 20856 | 0.6910 | 0.9388 |
| 0.0 | 34.0 | 21488 | 0.6861 | 0.9375 |
| 0.0 | 35.0 | 22120 | 0.6714 | 0.9386 |
| 0.0 | 36.0 | 22752 | 0.6914 | 0.9397 |
| 0.0 | 37.0 | 23384 | 0.6756 | 0.9390 |
| 0.0 | 38.0 | 24016 | 0.6780 | 0.9390 |
| 0.0 | 39.0 | 24648 | 0.6751 | 0.9394 |
| 0.0 | 40.0 | 25280 | 0.6756 | 0.9395 |
### Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Tokenizers 0.21.0
|