File size: 2,749 Bytes
b71caa7 |
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 |
---
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: noditrans_cf_seed-63_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. -->
# noditrans_cf_seed-63_1e-3
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.5107
- Accuracy: 0.3634
## 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: 63
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- 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 |
|:-------------:|:-------:|:-----:|:---------------:|:--------:|
| 6.0721 | 0.9999 | 1507 | 4.5216 | 0.2803 |
| 4.1353 | 1.9998 | 3014 | 4.0893 | 0.3122 |
| 3.94 | 2.9998 | 4521 | 3.8747 | 0.3281 |
| 3.7064 | 3.9997 | 6028 | 3.7568 | 0.3374 |
| 3.6181 | 4.9996 | 7535 | 3.6738 | 0.3454 |
| 3.5108 | 5.9995 | 9042 | 3.6136 | 0.3513 |
| 3.4484 | 6.9994 | 10549 | 3.5901 | 0.3528 |
| 3.395 | 8.0 | 12057 | 3.5658 | 0.3555 |
| 3.3481 | 8.9999 | 13564 | 3.5571 | 0.3568 |
| 3.326 | 9.9998 | 15071 | 3.5395 | 0.3584 |
| 3.2846 | 10.9998 | 16578 | 3.5257 | 0.3602 |
| 3.2805 | 11.9997 | 18085 | 3.5198 | 0.3609 |
| 3.2426 | 12.9996 | 19592 | 3.5322 | 0.3596 |
| 3.2487 | 13.9995 | 21099 | 3.5246 | 0.3614 |
| 3.2137 | 14.9994 | 22606 | 3.5166 | 0.3618 |
| 3.2257 | 16.0 | 24114 | 3.5283 | 0.3608 |
| 3.1932 | 16.9999 | 25621 | 3.5097 | 0.3632 |
| 3.2104 | 17.9998 | 27128 | 3.5262 | 0.3601 |
| 3.1805 | 18.9998 | 28635 | 3.5176 | 0.3619 |
| 3.1995 | 19.9983 | 30140 | 3.5107 | 0.3634 |
### Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.20.0
|