metadata
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: gpad-v2-full-taskB-smpl
results: []
gpad-v2-full-taskB-smpl
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.7077
- Accuracy: 0.515
- F1 Macro: 0.0618
- F1 Weighted: 0.3501
- Precision Macro: 0.0468
- Recall Macro: 0.0909
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: 16
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | F1 Weighted | Precision Macro | Recall Macro |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 13 | 1.8866 | 0.515 | 0.0618 | 0.3501 | 0.0468 | 0.0909 |
| No log | 2.0 | 26 | 1.7414 | 0.515 | 0.0618 | 0.3501 | 0.0468 | 0.0909 |
| No log | 3.0 | 39 | 1.7077 | 0.515 | 0.0618 | 0.3501 | 0.0468 | 0.0909 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.9.0+cu128
- Datasets 4.0.0
- Tokenizers 0.15.2