metadata
license: mit
base_model: haryoaw/scenario-TCR_data-cl-cardiff_cl_only2
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: scenario-KD-PO-CDF-EN-FROM-CL-D2_data-en-cardiff_eng_only_beta-jason
results: []
scenario-KD-PO-CDF-EN-FROM-CL-D2_data-en-cardiff_eng_only_beta-jason
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: 16.2943
- Accuracy: 0.4026
- F1: 0.3951
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: 6666
- 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 | 1.72 | 100 | 12.5546 | 0.3884 | 0.3802 |
No log | 3.45 | 200 | 12.5713 | 0.3889 | 0.3881 |
No log | 5.17 | 300 | 12.7463 | 0.4017 | 0.3840 |
No log | 6.9 | 400 | 13.0469 | 0.3884 | 0.3865 |
12.7004 | 8.62 | 500 | 13.4306 | 0.3964 | 0.3948 |
12.7004 | 10.34 | 600 | 13.5764 | 0.3964 | 0.3952 |
12.7004 | 12.07 | 700 | 13.8288 | 0.4074 | 0.4072 |
12.7004 | 13.79 | 800 | 14.3994 | 0.3955 | 0.3835 |
12.7004 | 15.52 | 900 | 14.4145 | 0.4171 | 0.4126 |
8.7663 | 17.24 | 1000 | 14.7236 | 0.4039 | 0.3966 |
8.7663 | 18.97 | 1100 | 15.3258 | 0.3920 | 0.3750 |
8.7663 | 20.69 | 1200 | 15.4501 | 0.3973 | 0.3945 |
8.7663 | 22.41 | 1300 | 15.6468 | 0.4026 | 0.3945 |
8.7663 | 24.14 | 1400 | 15.8710 | 0.4096 | 0.4019 |
6.1643 | 25.86 | 1500 | 15.9974 | 0.4136 | 0.4077 |
6.1643 | 27.59 | 1600 | 16.6029 | 0.3840 | 0.3721 |
6.1643 | 29.31 | 1700 | 16.2943 | 0.4026 | 0.3951 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.1.1+cu121
- Datasets 2.14.5
- Tokenizers 0.13.3