metadata
license: mit
base_model: haryoaw/scenario-TCR_data-cl-cardiff_cl_only2
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: scenario-NON-KD-PO-COPY-CDF-CL-D2_data-cl-cardiff_cl_only_delta
results: []
scenario-NON-KD-PO-COPY-CDF-CL-D2_data-cl-cardiff_cl_only_delta
This model is a fine-tuned version of haryoaw/scenario-TCR_data-cl-cardiff_cl_only2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 5.5684
- Accuracy: 0.4676
- F1: 0.4662
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: 11213
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
---|---|---|---|---|---|
No log | 1.09 | 250 | 1.8346 | 0.4684 | 0.4686 |
0.5182 | 2.17 | 500 | 2.4903 | 0.4745 | 0.4735 |
0.5182 | 3.26 | 750 | 2.5207 | 0.4830 | 0.4775 |
0.2149 | 4.35 | 1000 | 3.1950 | 0.4468 | 0.4376 |
0.2149 | 5.43 | 1250 | 3.2340 | 0.4738 | 0.4669 |
0.1358 | 6.52 | 1500 | 3.7896 | 0.4761 | 0.4750 |
0.1358 | 7.61 | 1750 | 3.2005 | 0.4954 | 0.4933 |
0.0968 | 8.7 | 2000 | 3.7302 | 0.4491 | 0.4429 |
0.0968 | 9.78 | 2250 | 4.0015 | 0.4691 | 0.4662 |
0.0624 | 10.87 | 2500 | 4.1400 | 0.4514 | 0.4462 |
0.0624 | 11.96 | 2750 | 4.6716 | 0.4460 | 0.4388 |
0.0508 | 13.04 | 3000 | 4.6683 | 0.4545 | 0.4531 |
0.0508 | 14.13 | 3250 | 4.9959 | 0.4398 | 0.4311 |
0.0408 | 15.22 | 3500 | 4.6543 | 0.4537 | 0.4541 |
0.0408 | 16.3 | 3750 | 4.7483 | 0.4753 | 0.4765 |
0.0272 | 17.39 | 4000 | 5.0125 | 0.4468 | 0.4446 |
0.0272 | 18.48 | 4250 | 5.1208 | 0.4475 | 0.4438 |
0.0241 | 19.57 | 4500 | 5.0070 | 0.4599 | 0.4586 |
0.0241 | 20.65 | 4750 | 4.8782 | 0.4761 | 0.4759 |
0.0187 | 21.74 | 5000 | 5.1882 | 0.4599 | 0.4608 |
0.0187 | 22.83 | 5250 | 5.1202 | 0.4761 | 0.4761 |
0.0086 | 23.91 | 5500 | 5.4158 | 0.4622 | 0.4616 |
0.0086 | 25.0 | 5750 | 5.4933 | 0.4637 | 0.4620 |
0.0088 | 26.09 | 6000 | 5.5752 | 0.4622 | 0.4604 |
0.0088 | 27.17 | 6250 | 5.5790 | 0.4668 | 0.4648 |
0.0063 | 28.26 | 6500 | 5.5069 | 0.4614 | 0.4603 |
0.0063 | 29.35 | 6750 | 5.5684 | 0.4676 | 0.4662 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.1.1+cu121
- Datasets 2.14.5
- Tokenizers 0.13.3