metadata
license: mit
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: xlnet-base-mnli-orgs-finetuned1
results: []
xlnet-base-mnli-orgs-finetuned1
This model is a fine-tuned version of clevrly/xlnet-base-mnli-finetuned on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1542
- F1: 0.6957
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: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.2719 | 1.0 | 1462 | 0.2841 | 0.0 |
| 0.3042 | 2.0 | 2924 | 0.2664 | 0.4324 |
| 0.1366 | 3.0 | 4386 | 0.1408 | 0.6452 |
| 0.1149 | 4.0 | 5848 | 0.1387 | 0.6866 |
| 0.0986 | 5.0 | 7310 | 0.1542 | 0.6957 |
Framework versions
- Transformers 4.21.1
- Pytorch 1.12.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1