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

# CollectedDataModel

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4365

## 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: 2
- seed: 42
- gradient_accumulation_steps: 8
- 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: 100
- training_steps: 1000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.4302        | 0.9913 | 100  | 0.4359          |
| 0.4275        | 1.9827 | 200  | 0.4396          |
| 0.4208        | 2.9740 | 300  | 0.4366          |
| 0.4217        | 3.9653 | 400  | 0.4389          |
| 0.4154        | 4.9566 | 500  | 0.4282          |
| 0.4173        | 5.9480 | 600  | 0.4362          |
| 0.4127        | 6.9393 | 700  | 0.4378          |
| 0.4104        | 7.9306 | 800  | 0.4340          |
| 0.4076        | 8.9219 | 900  | 0.4347          |
| 0.4065        | 9.9133 | 1000 | 0.4365          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1