---
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: tokenizer_word_tk_hypernet_lora_alpha_64_drop_0.3_rank_32_seed_42_06062024
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# tokenizer_word_tk_hypernet_lora_alpha_64_drop_0.3_rank_32_seed_42_06062024

This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 2.1117
- eval_accuracy: 0.6045
- eval_runtime: 208.6109
- eval_samples_per_second: 95.872
- eval_steps_per_second: 11.984
- step: 0

## 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: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1.0

### Framework versions

- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.18.0
- Tokenizers 0.19.1