---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: lltransformer-linear-test1
  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. -->

# lltransformer-linear-test1

This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 4.3793

## 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: 4
- eval_batch_size: 4
- seed: 1234
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- 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: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 6.8532        | 0.0320 | 100  | 6.7483          |
| 6.1754        | 0.0640 | 200  | 6.1243          |
| 5.8756        | 0.0959 | 300  | 5.7804          |
| 5.5348        | 0.1279 | 400  | 5.5261          |
| 5.2918        | 0.1599 | 500  | 5.3721          |
| 5.329         | 0.1919 | 600  | 5.2467          |
| 5.0479        | 0.2239 | 700  | 5.1346          |
| 5.0769        | 0.2559 | 800  | 5.0477          |
| 4.9082        | 0.2878 | 900  | 4.9726          |
| 4.8851        | 0.3198 | 1000 | 4.9025          |
| 4.8578        | 0.3518 | 1100 | 4.8424          |
| 4.7683        | 0.3838 | 1200 | 4.7891          |
| 4.7845        | 0.4158 | 1300 | 4.7421          |
| 4.7651        | 0.4477 | 1400 | 4.6986          |
| 4.6101        | 0.4797 | 1500 | 4.6589          |
| 4.5814        | 0.5117 | 1600 | 4.6180          |
| 4.5607        | 0.5437 | 1700 | 4.5858          |
| 4.62          | 0.5757 | 1800 | 4.5545          |
| 4.4465        | 0.6076 | 1900 | 4.5254          |
| 4.5038        | 0.6396 | 2000 | 4.5018          |
| 4.4746        | 0.6716 | 2100 | 4.4765          |
| 4.4328        | 0.7036 | 2200 | 4.4544          |
| 4.4182        | 0.7356 | 2300 | 4.4368          |
| 4.4987        | 0.7676 | 2400 | 4.4215          |
| 4.4017        | 0.7995 | 2500 | 4.4085          |
| 4.4284        | 0.8315 | 2600 | 4.3983          |
| 4.3105        | 0.8635 | 2700 | 4.3901          |
| 4.2949        | 0.8955 | 2800 | 4.3846          |
| 4.3673        | 0.9275 | 2900 | 4.3812          |
| 4.3048        | 0.9594 | 3000 | 4.3796          |
| 4.4036        | 0.9914 | 3100 | 4.3793          |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.7.0+cu128
- Datasets 3.5.0
- Tokenizers 0.21.1