---
tags:
- generated_from_trainer
model-index:
- name: tuned_XLM_RLarge_after_big
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# tuned_XLM_RLarge_after_big

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9037

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.9717        | 1.0   | 594  | 1.5020          |
| 1.4463        | 2.0   | 1188 | 1.1359          |
| 1.1579        | 3.0   | 1782 | 0.9597          |
| 0.9028        | 4.0   | 2376 | 0.9048          |
| 0.6887        | 5.0   | 2970 | 0.9037          |
| 0.3302        | 6.0   | 3564 | 0.9316          |
| 0.2495        | 7.0   | 4158 | 1.0809          |
| 0.1665        | 8.0   | 4752 | 1.1974          |
| 0.1223        | 9.0   | 5346 | 1.3164          |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1