---
license: apache-2.0
base_model: albert-base-v2
tags:
- generated_from_trainer
datasets:
- imdb
model-index:
- name: albert_base_v2_imdb
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# albert_base_v2_imdb

This model is a fine-tuned version of [albert-base-v2](https://huggingface.co/albert-base-v2) on the imdb dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.3031
- eval_accuracy: 0.898
- eval_runtime: 21.4873
- eval_samples_per_second: 46.539
- eval_steps_per_second: 2.932
- epoch: 4.08
- step: 399

## 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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1