---
tags:
- generated_from_trainer
model-index:
- name: language-fine-tuning-from-scratch
  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. -->

# language-fine-tuning-from-scratch

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 3.7731
- eval_accuracy: 0.543
- eval_runtime: 3.9209
- eval_samples_per_second: 255.042
- eval_steps_per_second: 4.081
- epoch: 17.0
- step: 544

## 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: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100

### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.0
- Datasets 2.14.5
- Tokenizers 0.14.1