metadata
license: apache-2.0
base_model: albert/albert-base-v2
tags:
- generated_from_trainer
model-index:
- name: imdb_42
results: []
imdb_42
This model is a fine-tuned version of albert/albert-base-v2 on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.2715
- eval_accuracy: 0.8925
- eval_runtime: 44.3585
- eval_samples_per_second: 563.589
- eval_steps_per_second: 2.209
- 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 256
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.2+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2