---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: wikipedia_30
  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. -->

# wikipedia_30

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.1731

## 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 30
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100000
- training_steps: 400000

### Training results

| Training Loss | Epoch   | Step  | Validation Loss |
|:-------------:|:-------:|:-----:|:---------------:|
| No log        | 2.3378  | 2000  | 6.9004          |
| 7.3814        | 4.6756  | 4000  | 6.9259          |
| 7.3814        | 7.0134  | 6000  | 6.9098          |
| 6.845         | 9.3513  | 8000  | 6.6689          |
| 6.845         | 11.6891 | 10000 | 5.7875          |
| 5.8652        | 14.0269 | 12000 | 5.1923          |
| 5.8652        | 16.3647 | 14000 | 4.8226          |
| 4.8065        | 18.7025 | 16000 | 4.5346          |
| 4.8065        | 21.0403 | 18000 | 4.3246          |
| 4.2309        | 23.3781 | 20000 | 4.1348          |
| 4.2309        | 25.7160 | 22000 | 3.9652          |
| 3.8185        | 28.0538 | 24000 | 3.8108          |
| 3.8185        | 30.3916 | 26000 | 3.7102          |
| 3.5163        | 32.7294 | 28000 | 3.6271          |
| 3.5163        | 35.0672 | 30000 | 3.5350          |
| 3.2957        | 37.4050 | 32000 | 3.5053          |
| 3.2957        | 39.7428 | 34000 | 3.4144          |
| 3.1388        | 42.0807 | 36000 | 3.3632          |
| 3.1388        | 44.4185 | 38000 | 3.3095          |
| 3.0197        | 46.7563 | 40000 | 3.3381          |
| 3.0197        | 49.0941 | 42000 | 3.3036          |
| 2.9398        | 51.4319 | 44000 | 3.2828          |
| 2.9398        | 53.7697 | 46000 | 3.2407          |
| 2.8775        | 56.1075 | 48000 | 3.2374          |
| 2.8775        | 58.4454 | 50000 | 3.2790          |
| 2.8378        | 60.7832 | 52000 | 3.1918          |
| 2.8378        | 63.1210 | 54000 | 3.1904          |
| 2.8089        | 65.4588 | 56000 | 3.1705          |
| 2.8089        | 67.7966 | 58000 | 3.1829          |
| 2.7826        | 70.1344 | 60000 | 3.2242          |
| 2.7826        | 72.4722 | 62000 | 3.1731          |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.5.1+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1