---
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