metadata
library_name: transformers
license: apache-2.0
base_model: albert/albert-xxlarge-v2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: 180715c48bee8667d4ed3428d0c1732e
results: []
180715c48bee8667d4ed3428d0c1732e
This model is a fine-tuned version of albert/albert-xxlarge-v2 on the contemmcm/amazon_reviews_2013 [cell-phone] dataset. It achieves the following results on the evaluation set:
- Loss: 1.4820
- Data Size: 0.125
- Epoch Runtime: 142.3290
- Accuracy: 0.3853
- F1 Macro: 0.1112
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: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 32
- total_eval_batch_size: 32
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss | Data Size | Epoch Runtime | Accuracy | F1 Macro |
|---|---|---|---|---|---|---|---|
| No log | 0 | 0 | 2.0084 | 0 | 56.0280 | 0.2252 | 0.1225 |
| No log | 1 | 1973 | 1.4765 | 0.0078 | 61.8715 | 0.3847 | 0.1262 |
| 0.0345 | 2 | 3946 | 1.4872 | 0.0156 | 66.9257 | 0.3923 | 0.1311 |
| 1.4446 | 3 | 5919 | 1.4843 | 0.0312 | 77.8494 | 0.3853 | 0.1112 |
| 1.5734 | 4 | 7892 | 1.4921 | 0.0625 | 99.0788 | 0.3853 | 0.1112 |
| 1.4989 | 5 | 9865 | 1.4820 | 0.125 | 142.3290 | 0.3853 | 0.1112 |
Framework versions
- Transformers 4.57.0
- Pytorch 2.8.0+cu128
- Datasets 4.2.0
- Tokenizers 0.22.1