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---
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: random_first_noditransitive_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. -->
# random_first_noditransitive_seed-42_1e-3
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4765
- Accuracy: 0.3747
## 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
- 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 |
|:-------------:|:-------:|:-----:|:---------------:|:--------:|
| 6.1723 | 0.9998 | 1495 | 4.6680 | 0.2657 |
| 4.6225 | 1.9997 | 2990 | 4.1969 | 0.3052 |
| 4.0268 | 2.9995 | 4485 | 3.9485 | 0.3257 |
| 3.8589 | 4.0 | 5981 | 3.7891 | 0.3402 |
| 3.631 | 4.9998 | 7476 | 3.6919 | 0.3500 |
| 3.5582 | 5.9997 | 8971 | 3.6250 | 0.3564 |
| 3.4406 | 6.9995 | 10466 | 3.5854 | 0.3608 |
| 3.4057 | 8.0 | 11962 | 3.5576 | 0.3640 |
| 3.3348 | 8.9998 | 13457 | 3.5365 | 0.3663 |
| 3.3147 | 9.9997 | 14952 | 3.5227 | 0.3682 |
| 3.2685 | 10.9995 | 16447 | 3.5096 | 0.3697 |
| 3.2552 | 12.0 | 17943 | 3.5064 | 0.3705 |
| 3.2239 | 12.9998 | 19438 | 3.4980 | 0.3716 |
| 3.2154 | 13.9997 | 20933 | 3.4910 | 0.3722 |
| 3.1913 | 14.9995 | 22428 | 3.4857 | 0.3729 |
| 3.1874 | 16.0 | 23924 | 3.4834 | 0.3736 |
| 3.1704 | 16.9998 | 25419 | 3.4794 | 0.3740 |
| 3.1669 | 17.9997 | 26914 | 3.4786 | 0.3743 |
| 3.1565 | 18.9995 | 28409 | 3.4768 | 0.3747 |
| 3.1505 | 19.9967 | 29900 | 3.4765 | 0.3747 |
### Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.20.0
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