scenario-TCR-XLMV_data-AmazonScience_massive_all_1_1_beta
This model is a fine-tuned version of facebook/xlm-v-base on the massive dataset. It achieves the following results on the evaluation set:
- Loss: 3.8507
- Accuracy: 0.0516
- F1: 0.0017
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: 32
- eval_batch_size: 32
- seed: 112233
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 500
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 3.7597 | 0.27 | 5000 | 3.7356 | 0.0644 | 0.0021 |
| 3.74 | 0.53 | 10000 | 3.7433 | 0.0620 | 0.0020 |
| 3.7286 | 0.8 | 15000 | 3.7729 | 0.0620 | 0.0020 |
| 3.7156 | 1.07 | 20000 | 3.8497 | 0.0516 | 0.0017 |
| 3.7167 | 1.34 | 25000 | 3.8316 | 0.0516 | 0.0017 |
| 3.7147 | 1.6 | 30000 | 3.8507 | 0.0516 | 0.0017 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.1.1+cu121
- Datasets 2.14.5
- Tokenizers 0.13.3
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Model tree for haryoaw/scenario-TCR-XLMV_data-AmazonScience_massive_all_1_1_beta
Base model
facebook/xlm-v-baseEvaluation results
- Accuracy on massivevalidation set self-reported0.052
- F1 on massivevalidation set self-reported0.002