metadata
tags:
- generated_from_trainer
model-index:
- name: re-irr-sv-agr-lstm-0
results: []
re-irr-sv-agr-lstm-0
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.9871
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: 0
- 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 |
|---|---|---|---|
| 4.774 | 0.03 | 76320 | 4.7628 |
| 4.4898 | 1.03 | 152640 | 4.4830 |
| 4.3488 | 0.03 | 228960 | 4.3492 |
| 4.2646 | 1.03 | 305280 | 4.2676 |
| 4.1995 | 0.03 | 381600 | 4.2116 |
| 4.1574 | 1.03 | 457920 | 4.1707 |
| 4.1193 | 0.03 | 534240 | 4.1409 |
| 4.0851 | 0.03 | 610560 | 4.1171 |
| 4.0581 | 1.03 | 686880 | 4.0982 |
| 4.0332 | 0.03 | 763200 | 4.0820 |
| 4.0122 | 1.03 | 839520 | 4.0701 |
| 4.0007 | 0.03 | 915840 | 4.0597 |
| 3.986 | 1.03 | 992160 | 4.0507 |
| 3.9678 | 0.03 | 1068480 | 4.0432 |
| 3.9529 | 1.03 | 1144800 | 4.0362 |
| 3.9348 | 0.03 | 1221120 | 4.0301 |
| 3.922 | 0.03 | 1297440 | 4.0256 |
| 3.9113 | 1.03 | 1373760 | 4.0213 |
| 3.9021 | 0.03 | 1450080 | 4.0174 |
| 3.8989 | 1.03 | 1526400 | 4.0139 |
| 3.8936 | 0.03 | 1602720 | 4.0110 |
| 3.8923 | 1.03 | 1679040 | 4.0083 |
| 3.8889 | 0.03 | 1755360 | 4.0060 |
| 3.8785 | 1.03 | 1831680 | 4.0036 |
| 3.8726 | 0.03 | 1908000 | 4.0011 |
| 3.8671 | 0.03 | 1984320 | 3.9992 |
| 3.8603 | 1.03 | 2060640 | 3.9976 |
| 3.8618 | 0.03 | 2136960 | 3.9963 |
| 3.8576 | 1.03 | 2213280 | 3.9950 |
| 3.8495 | 0.03 | 2289600 | 3.9942 |
| 3.846 | 1.03 | 2365920 | 3.9930 |
| 3.8371 | 2.03 | 2442240 | 3.9918 |
| 3.8292 | 0.03 | 2518560 | 3.9914 |
| 3.8253 | 1.03 | 2594880 | 3.9905 |
| 3.8211 | 0.03 | 2671200 | 3.9897 |
| 3.823 | 1.03 | 2747520 | 3.9888 |
| 3.8256 | 0.03 | 2823840 | 3.9882 |
| 3.8285 | 1.03 | 2900160 | 3.9876 |
| 3.8292 | 0.03 | 2976480 | 3.9874 |
| 3.8239 | 1.02 | 3052726 | 3.9871 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3