metadata
license: mit
base_model: facebook/xmod-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: xmod-base
results: []
xmod-base
This model is a fine-tuned version of facebook/xmod-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5756
- F1: 0.4000
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-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.6685 | 1.0 | 189 | 0.6350 | 0.0 |
| 0.6631 | 2.0 | 378 | 0.6223 | 0.0 |
| 0.6368 | 3.0 | 567 | 0.6064 | 0.0 |
| 0.6075 | 4.0 | 756 | 0.5928 | 0.0 |
| 0.6102 | 5.0 | 945 | 0.5549 | 0.3729 |
| 0.5635 | 6.0 | 1134 | 0.6121 | 0.2727 |
| 0.5783 | 7.0 | 1323 | 0.5595 | 0.4118 |
| 0.5206 | 8.0 | 1512 | 0.5852 | 0.4068 |
| 0.5619 | 9.0 | 1701 | 0.5778 | 0.4000 |
| 0.5518 | 10.0 | 1890 | 0.5756 | 0.4000 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.1.2
- Datasets 2.12.0
- Tokenizers 0.13.3