---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: fineweb-distil-xlstm
  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. -->

# fineweb-distil-xlstm

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: 2.3150

## 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: 0.0001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 3.5458        | 0.08   | 100  | 3.0996          |
| 2.9415        | 0.16   | 200  | 2.9096          |
| 2.8028        | 0.24   | 300  | 2.7979          |
| 2.6877        | 0.32   | 400  | 2.7064          |
| 2.6105        | 0.4    | 500  | 2.6351          |
| 2.5406        | 0.48   | 600  | 2.5843          |
| 2.4982        | 0.56   | 700  | 2.5451          |
| 2.4888        | 0.64   | 800  | 2.5058          |
| 2.4339        | 0.72   | 900  | 2.4766          |
| 2.3962        | 0.8    | 1000 | 2.4500          |
| 2.3711        | 0.88   | 1100 | 2.4281          |
| 2.3509        | 0.96   | 1200 | 2.4046          |
| 2.2915        | 1.04   | 1300 | 2.3911          |
| 2.2122        | 1.12   | 1400 | 2.3764          |
| 2.1985        | 1.2    | 1500 | 2.3662          |
| 2.1937        | 1.28   | 1600 | 2.3508          |
| 2.191         | 1.3600 | 1700 | 2.3432          |
| 2.1877        | 1.44   | 1800 | 2.3351          |
| 2.1629        | 1.52   | 1900 | 2.3276          |
| 2.1565        | 1.6    | 2000 | 2.3243          |
| 2.1597        | 1.6800 | 2100 | 2.3203          |
| 2.1529        | 1.76   | 2200 | 2.3170          |
| 2.1666        | 1.8400 | 2300 | 2.3157          |
| 2.1557        | 1.92   | 2400 | 2.3151          |
| 2.1579        | 2.0    | 2500 | 2.3150          |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.20.3