metadata
tags:
- generated_from_trainer
model-index:
- name: binding-domain-transformer-4
results: []
binding-domain-transformer-4
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.8582
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: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 3052726
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.226 | 0.03 | 76320 | 4.1915 |
| 4.0213 | 1.03 | 152640 | 4.0234 |
| 3.9161 | 0.03 | 228960 | 3.9497 |
| 3.8489 | 1.03 | 305280 | 3.9084 |
| 3.7957 | 0.03 | 381600 | 3.8838 |
| 3.7572 | 1.03 | 457920 | 3.8675 |
| 3.7211 | 0.03 | 534240 | 3.8573 |
| 3.6912 | 1.03 | 610560 | 3.8499 |
| 3.6594 | 0.03 | 686880 | 3.8459 |
| 3.6379 | 0.03 | 763200 | 3.8440 |
| 3.6134 | 1.03 | 839520 | 3.8428 |
| 3.5959 | 0.03 | 915840 | 3.8417 |
| 3.5766 | 1.03 | 992160 | 3.8407 |
| 3.557 | 0.03 | 1068480 | 3.8415 |
| 3.5417 | 1.03 | 1144800 | 3.8420 |
| 3.5296 | 0.03 | 1221120 | 3.8431 |
| 3.5121 | 1.03 | 1297440 | 3.8434 |
| 3.4985 | 0.03 | 1373760 | 3.8460 |
| 3.4868 | 1.03 | 1450080 | 3.8457 |
| 3.4784 | 0.03 | 1526400 | 3.8484 |
| 3.4709 | 1.03 | 1602720 | 3.8486 |
| 3.463 | 0.03 | 1679040 | 3.8508 |
| 3.4519 | 1.03 | 1755360 | 3.8514 |
| 3.4409 | 0.03 | 1831680 | 3.8525 |
| 3.4273 | 1.03 | 1908000 | 3.8540 |
| 3.4158 | 0.03 | 1984320 | 3.8543 |
| 3.4037 | 1.03 | 2060640 | 3.8560 |
| 3.3967 | 0.03 | 2136960 | 3.8576 |
| 3.385 | 1.03 | 2213280 | 3.8575 |
| 3.3721 | 0.03 | 2289600 | 3.8587 |
| 3.3609 | 1.03 | 2365920 | 3.8594 |
| 3.3544 | 0.03 | 2442240 | 3.8593 |
| 3.3399 | 0.03 | 2518560 | 3.8608 |
| 3.3327 | 1.03 | 2594880 | 3.8604 |
| 3.324 | 0.03 | 2671200 | 3.8607 |
| 3.3185 | 1.03 | 2747520 | 3.8611 |
| 3.3142 | 0.03 | 2823840 | 3.8610 |
| 3.3078 | 0.03 | 2900160 | 3.8606 |
| 3.3017 | 1.03 | 2976480 | 3.8596 |
| 3.2938 | 0.02 | 3052726 | 3.8582 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3