metadata
tags:
- generated_from_trainer
model-index:
- name: pp-mod-subj2-transformer-1
results: []
pp-mod-subj2-transformer-1
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.9262
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: 1
- 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 |
|---|---|---|---|
| 4.2239 | 0.03 | 76320 | 4.2376 |
| 4.0224 | 1.03 | 152640 | 4.0686 |
| 3.9119 | 0.03 | 228960 | 3.9972 |
| 3.844 | 1.03 | 305280 | 3.9558 |
| 3.7955 | 0.03 | 381600 | 3.9310 |
| 3.7466 | 1.03 | 457920 | 3.9171 |
| 3.7114 | 0.03 | 534240 | 3.9071 |
| 3.678 | 1.03 | 610560 | 3.9014 |
| 3.6505 | 0.03 | 686880 | 3.8976 |
| 3.6283 | 1.03 | 763200 | 3.8972 |
| 3.604 | 0.03 | 839520 | 3.8951 |
| 3.5821 | 1.03 | 915840 | 3.8951 |
| 3.5663 | 0.03 | 992160 | 3.8951 |
| 3.5503 | 1.03 | 1068480 | 3.8963 |
| 3.5299 | 0.03 | 1144800 | 3.8980 |
| 3.5172 | 1.03 | 1221120 | 3.8993 |
| 3.5033 | 0.03 | 1297440 | 3.9014 |
| 3.4932 | 1.03 | 1373760 | 3.9026 |
| 3.4776 | 0.03 | 1450080 | 3.9043 |
| 3.4675 | 1.03 | 1526400 | 3.9066 |
| 3.463 | 0.03 | 1602720 | 3.9080 |
| 3.4455 | 1.03 | 1679040 | 3.9105 |
| 3.4337 | 0.03 | 1755360 | 3.9127 |
| 3.4207 | 0.03 | 1831680 | 3.9144 |
| 3.4094 | 1.03 | 1908000 | 3.9159 |
| 3.4 | 0.03 | 1984320 | 3.9178 |
| 3.3854 | 1.03 | 2060640 | 3.9192 |
| 3.3739 | 0.03 | 2136960 | 3.9209 |
| 3.366 | 1.03 | 2213280 | 3.9216 |
| 3.3551 | 0.03 | 2289600 | 3.9244 |
| 3.3427 | 1.03 | 2365920 | 3.9252 |
| 3.3348 | 0.03 | 2442240 | 3.9254 |
| 3.3254 | 1.03 | 2518560 | 3.9270 |
| 3.3187 | 0.03 | 2594880 | 3.9282 |
| 3.3089 | 1.03 | 2671200 | 3.9282 |
| 3.3021 | 0.03 | 2747520 | 3.9279 |
| 3.2982 | 1.03 | 2823840 | 3.9286 |
| 3.2864 | 0.03 | 2900160 | 3.9283 |
| 3.279 | 1.03 | 2976480 | 3.9276 |
| 3.2717 | 0.02 | 3052726 | 3.9262 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3