File size: 2,578 Bytes
574b40f |
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 |
---
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: baseline_seed-42_1e-3
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. -->
# baseline_seed-42_1e-3
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.1495
- Accuracy: 0.4121
## 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: 0.001
- train_batch_size: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 32000
- num_epochs: 20.0
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 3.6536 | 1.0 | 17459 | 3.6063 | 0.3536 |
| 3.4313 | 2.0 | 34918 | 3.3959 | 0.3757 |
| 3.2641 | 3.0 | 52377 | 3.2704 | 0.3901 |
| 3.1763 | 4.0 | 69836 | 3.2136 | 0.3968 |
| 3.1125 | 5.0 | 87295 | 3.1768 | 0.4015 |
| 3.0607 | 6.0 | 104754 | 3.1599 | 0.4039 |
| 3.0231 | 7.0 | 122213 | 3.1423 | 0.4063 |
| 2.986 | 8.0 | 139672 | 3.1343 | 0.4077 |
| 2.9519 | 9.0 | 157131 | 3.1277 | 0.4090 |
| 2.9272 | 10.0 | 174590 | 3.1228 | 0.4100 |
| 2.9034 | 11.0 | 192049 | 3.1221 | 0.4106 |
| 2.8763 | 12.0 | 209508 | 3.1221 | 0.4111 |
| 2.851 | 13.0 | 226967 | 3.1256 | 0.4114 |
| 2.8383 | 14.0 | 244426 | 3.1238 | 0.4119 |
| 2.8084 | 15.0 | 261885 | 3.1268 | 0.4121 |
| 2.7877 | 16.0 | 279344 | 3.1320 | 0.4121 |
| 2.7651 | 17.0 | 296803 | 3.1339 | 0.4122 |
| 2.7424 | 18.0 | 314262 | 3.1409 | 0.4121 |
| 2.7208 | 19.0 | 331721 | 3.1441 | 0.4121 |
| 2.7009 | 20.0 | 349180 | 3.1495 | 0.4121 |
### Framework versions
- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 2.19.1
- Tokenizers 0.20.0
|