---
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: counterfactual_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. -->

# counterfactual_seed-63_1e-3

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.1845
- Accuracy: 0.4009

## 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 |
|:-------------:|:-------:|:-----:|:---------------:|:--------:|
| 5.9705        | 0.9994  | 1486  | 4.4079          | 0.2941   |
| 4.3089        | 1.9992  | 2972  | 3.9092          | 0.3319   |
| 3.703         | 2.9991  | 4458  | 3.6332          | 0.3553   |
| 3.5333        | 3.9996  | 5945  | 3.4678          | 0.3710   |
| 3.3129        | 4.9994  | 7431  | 3.3714          | 0.3801   |
| 3.2404        | 5.9992  | 8917  | 3.3118          | 0.3860   |
| 3.1329        | 6.9991  | 10403 | 3.2677          | 0.3900   |
| 3.0918        | 7.9996  | 11890 | 3.2436          | 0.3927   |
| 3.0319        | 8.9994  | 13376 | 3.2273          | 0.3947   |
| 3.0061        | 9.9992  | 14862 | 3.2162          | 0.3960   |
| 2.9698        | 10.9991 | 16348 | 3.2088          | 0.3971   |
| 2.9485        | 11.9996 | 17835 | 3.2029          | 0.3982   |
| 2.9272        | 12.9994 | 19321 | 3.2025          | 0.3986   |
| 2.9081        | 13.9992 | 20807 | 3.1958          | 0.3994   |
| 2.8982        | 14.9991 | 22293 | 3.1934          | 0.3992   |
| 2.8793        | 15.9996 | 23780 | 3.1888          | 0.3998   |
| 2.8779        | 16.9994 | 25266 | 3.1852          | 0.4005   |
| 2.8592        | 17.9992 | 26752 | 3.1844          | 0.4004   |
| 2.8662        | 18.9991 | 28238 | 3.1828          | 0.4007   |
| 2.8451        | 19.9962 | 29720 | 3.1845          | 0.4009   |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.20.0