File size: 1,967 Bytes
0265849 |
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 |
---
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: FR_5000_41
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. -->
# FR_5000_41
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.1981
- Accuracy: 0.3858
## 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: 0.0006
- train_batch_size: 32
- eval_batch_size: 32
- seed: 41
- 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
- lr_scheduler_warmup_steps: 1000
- num_epochs: 10.0
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.1808 | 1.0 | 1132 | 4.3484 | 0.2245 |
| 0.9761 | 2.0 | 2264 | 3.9409 | 0.2771 |
| 0.9067 | 3.0 | 3396 | 3.7296 | 0.3072 |
| 0.8612 | 4.0 | 4528 | 3.5686 | 0.3292 |
| 0.8249 | 5.0 | 5660 | 3.4588 | 0.3459 |
| 0.7961 | 6.0 | 6792 | 3.3755 | 0.3591 |
| 0.7736 | 7.0 | 7924 | 3.3061 | 0.3692 |
| 0.7365 | 8.0 | 9056 | 3.2526 | 0.3776 |
| 0.7209 | 9.0 | 10188 | 3.2175 | 0.3829 |
| 0.7088 | 10.0 | 11320 | 3.1981 | 0.3858 |
### Framework versions
- Transformers 4.51.3
- Pytorch 2.5.1+cu121
- Datasets 3.6.0
- Tokenizers 0.21.1
|