scenario-TCR-XLMV-XCOPA-6_data-xcopa_all
This model is a fine-tuned version of facebook/xlm-v-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6931
- Accuracy: 0.5083
- F1: 0.4627
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: 341241
- 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 |
---|---|---|---|---|---|
No log | 0.38 | 5 | 0.6931 | 0.5133 | 0.4904 |
No log | 0.77 | 10 | 0.6931 | 0.5542 | 0.5344 |
No log | 1.15 | 15 | 0.6931 | 0.5358 | 0.5093 |
No log | 1.54 | 20 | 0.6931 | 0.5508 | 0.5373 |
No log | 1.92 | 25 | 0.6931 | 0.5033 | 0.4716 |
No log | 2.31 | 30 | 0.6931 | 0.53 | 0.5261 |
No log | 2.69 | 35 | 0.6931 | 0.5383 | 0.5257 |
No log | 3.08 | 40 | 0.6931 | 0.5308 | 0.5159 |
No log | 3.46 | 45 | 0.6931 | 0.4933 | 0.4856 |
No log | 3.85 | 50 | 0.6931 | 0.5308 | 0.5233 |
No log | 4.23 | 55 | 0.6931 | 0.5517 | 0.5410 |
No log | 4.62 | 60 | 0.6931 | 0.5625 | 0.5570 |
No log | 5.0 | 65 | 0.6931 | 0.5433 | 0.5308 |
No log | 5.38 | 70 | 0.6931 | 0.53 | 0.5236 |
No log | 5.77 | 75 | 0.6931 | 0.5267 | 0.5103 |
No log | 6.15 | 80 | 0.6931 | 0.5308 | 0.4987 |
No log | 6.54 | 85 | 0.6931 | 0.5017 | 0.4889 |
No log | 6.92 | 90 | 0.6931 | 0.5267 | 0.5009 |
No log | 7.31 | 95 | 0.6931 | 0.5367 | 0.5062 |
No log | 7.69 | 100 | 0.6931 | 0.5133 | 0.4859 |
No log | 8.08 | 105 | 0.6931 | 0.4817 | 0.4610 |
No log | 8.46 | 110 | 0.6932 | 0.5 | 0.4854 |
No log | 8.85 | 115 | 0.6931 | 0.4992 | 0.4788 |
No log | 9.23 | 120 | 0.6931 | 0.5 | 0.4881 |
No log | 9.62 | 125 | 0.6931 | 0.5042 | 0.4884 |
No log | 10.0 | 130 | 0.6931 | 0.5025 | 0.4936 |
No log | 10.38 | 135 | 0.6931 | 0.4908 | 0.4764 |
No log | 10.77 | 140 | 0.6931 | 0.4942 | 0.4816 |
No log | 11.15 | 145 | 0.6932 | 0.5033 | 0.4532 |
No log | 11.54 | 150 | 0.6931 | 0.525 | 0.4732 |
No log | 11.92 | 155 | 0.6931 | 0.53 | 0.4946 |
No log | 12.31 | 160 | 0.6931 | 0.5192 | 0.4489 |
No log | 12.69 | 165 | 0.6931 | 0.5225 | 0.4729 |
No log | 13.08 | 170 | 0.6931 | 0.5117 | 0.4624 |
No log | 13.46 | 175 | 0.6931 | 0.5383 | 0.4851 |
No log | 13.85 | 180 | 0.6931 | 0.5208 | 0.4691 |
No log | 14.23 | 185 | 0.6931 | 0.5258 | 0.4717 |
No log | 14.62 | 190 | 0.6931 | 0.5417 | 0.4860 |
No log | 15.0 | 195 | 0.6931 | 0.5233 | 0.4838 |
No log | 15.38 | 200 | 0.6931 | 0.5258 | 0.4851 |
No log | 15.77 | 205 | 0.6931 | 0.5392 | 0.4931 |
No log | 16.15 | 210 | 0.6931 | 0.5083 | 0.4627 |
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-XCOPA-6_data-xcopa_all
Base model
facebook/xlm-v-base