metadata
license: apache-2.0
base_model: albert-base-v2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: ALBERT_Tweet_tuned
results: []
ALBERT_Tweet_tuned
This model is a fine-tuned version of albert-base-v2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6621
- Accuracy: 0.6684
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 0.56 | 100 | 0.6995 | 0.5288 |
| No log | 1.12 | 200 | 0.6658 | 0.6555 |
| No log | 1.68 | 300 | 0.6251 | 0.6660 |
| No log | 2.23 | 400 | 0.6158 | 0.6932 |
| 0.5771 | 2.79 | 500 | 0.6305 | 0.6974 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2