File size: 3,852 Bytes
c73aa20 |
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: albert/albert-base-v2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Albert-Base
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. -->
# Albert-Base
This model is a fine-tuned version of [albert/albert-base-v2](https://huggingface.co/albert/albert-base-v2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2950
- Accuracy: 0.9234
## 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: 128
- eval_batch_size: 512
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.4359 | 1.0 | 158 | 0.3263 | 0.9016 |
| 0.2711 | 2.0 | 316 | 0.3180 | 0.9063 |
| 0.1583 | 3.0 | 474 | 0.3126 | 0.9117 |
| 0.1463 | 4.0 | 632 | 0.3113 | 0.9132 |
| 0.0722 | 5.0 | 790 | 0.2950 | 0.9234 |
| 0.0627 | 6.0 | 948 | 0.3461 | 0.9178 |
| 0.0528 | 7.0 | 1106 | 0.3541 | 0.9177 |
| 0.0336 | 8.0 | 1264 | 0.3469 | 0.9251 |
| 0.0416 | 9.0 | 1422 | 0.4367 | 0.9130 |
| 0.0356 | 10.0 | 1580 | 0.3814 | 0.9226 |
| 0.0092 | 11.0 | 1738 | 0.4591 | 0.9206 |
| 0.0127 | 12.0 | 1896 | 0.4355 | 0.9277 |
| 0.0055 | 13.0 | 2054 | 0.4419 | 0.9264 |
| 0.0019 | 14.0 | 2212 | 0.4578 | 0.9297 |
| 0.0009 | 15.0 | 2370 | 0.4947 | 0.9284 |
| 0.0017 | 16.0 | 2528 | 0.4893 | 0.9318 |
| 0.0003 | 17.0 | 2686 | 0.5132 | 0.9278 |
| 0.0013 | 18.0 | 2844 | 0.4901 | 0.9307 |
| 0.0029 | 19.0 | 3002 | 0.5176 | 0.9301 |
| 0.0064 | 20.0 | 3160 | 0.5325 | 0.9321 |
| 0.0001 | 21.0 | 3318 | 0.5367 | 0.9294 |
| 0.0001 | 22.0 | 3476 | 0.5389 | 0.9309 |
| 0.008 | 23.0 | 3634 | 0.5888 | 0.9274 |
| 0.0001 | 24.0 | 3792 | 0.5542 | 0.9315 |
| 0.0003 | 25.0 | 3950 | 0.5350 | 0.9323 |
| 0.0 | 26.0 | 4108 | 0.5480 | 0.9312 |
| 0.0 | 27.0 | 4266 | 0.5337 | 0.9343 |
| 0.0 | 28.0 | 4424 | 0.5453 | 0.9331 |
| 0.0 | 29.0 | 4582 | 0.5434 | 0.9333 |
| 0.0 | 30.0 | 4740 | 0.5443 | 0.9335 |
| 0.0 | 31.0 | 4898 | 0.5457 | 0.9338 |
| 0.0 | 32.0 | 5056 | 0.5468 | 0.9339 |
| 0.0 | 33.0 | 5214 | 0.5481 | 0.9339 |
| 0.0 | 34.0 | 5372 | 0.5492 | 0.9339 |
| 0.0 | 35.0 | 5530 | 0.5503 | 0.9343 |
| 0.0 | 36.0 | 5688 | 0.5511 | 0.9345 |
| 0.0 | 37.0 | 5846 | 0.5519 | 0.9343 |
| 0.0 | 38.0 | 6004 | 0.5525 | 0.9343 |
| 0.0 | 39.0 | 6162 | 0.5529 | 0.9343 |
| 0.0 | 40.0 | 6320 | 0.5530 | 0.9343 |
### Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Tokenizers 0.21.0
|