all-distilroberta-finetuned-on-agent
This model is a fine-tuned version of sentence-transformers/all-distilroberta-v1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0841
- Accuracy: 0.9333
- F1: 0.9289
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: 6
- eval_batch_size: 6
- seed: 42
- distributed_type: tpu
- 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 | Accuracy | F1 |
|---|---|---|---|---|---|
| 5.0075 | 1.0 | 30 | 4.3968 | 0.5 | 0.44 |
| 3.9817 | 2.0 | 60 | 3.4466 | 0.8333 | 0.8114 |
| 3.248 | 3.0 | 90 | 2.7491 | 0.8667 | 0.8470 |
| 2.6848 | 4.0 | 120 | 2.2106 | 0.8667 | 0.8470 |
| 2.2175 | 5.0 | 150 | 1.8139 | 0.9 | 0.8978 |
| 1.8263 | 6.0 | 180 | 1.5195 | 0.9 | 0.8978 |
| 1.6005 | 7.0 | 210 | 1.3236 | 0.9333 | 0.9289 |
| 1.4191 | 8.0 | 240 | 1.1857 | 0.9333 | 0.9289 |
| 1.3119 | 9.0 | 270 | 1.1092 | 0.9333 | 0.9289 |
| 1.2529 | 10.0 | 300 | 1.0841 | 0.9333 | 0.9289 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Base model
sentence-transformers/all-distilroberta-v1