---
library_name: transformers
tags:
- generated_from_trainer
datasets:
- arrow
model-index:
- name: results5
  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. -->

# results5

This model is a fine-tuned version of [](https://huggingface.co/) on the arrow dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2934

## 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: 128
- eval_batch_size: 128
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 256
- total_eval_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: 10000
- training_steps: 55177

### Training results

| Training Loss | Epoch  | Step  | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 6.314         | 0.0906 | 5000  | 6.2932          |
| 5.2109        | 0.1812 | 10000 | 4.9949          |
| 3.2468        | 0.2718 | 15000 | 3.0871          |
| 2.922         | 0.3625 | 20000 | 2.7691          |
| 2.7663        | 0.4531 | 25000 | 2.6115          |
| 2.6594        | 0.5437 | 30000 | 2.5044          |
| 2.5777        | 0.6343 | 35000 | 2.4308          |
| 2.5149        | 0.7249 | 40000 | 2.3741          |
| 2.4536        | 0.8155 | 45000 | 2.3367          |
| 2.4271        | 0.9062 | 50000 | 2.3103          |
| 2.4554        | 0.9968 | 55000 | 2.2934          |


### Framework versions

- Transformers 4.51.0
- Pytorch 2.6.0+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0