3.2 KiB
3.2 KiB
tags, model-index
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full2-transformer-0
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.8599
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 |
|---|---|---|---|
| 4.2278 | 0.03 | 76320 | 4.1982 |
| 4.022 | 1.03 | 152640 | 4.0277 |
| 3.9114 | 0.03 | 228960 | 3.9531 |
| 3.8457 | 1.03 | 305280 | 3.9114 |
| 3.7937 | 0.03 | 381600 | 3.8858 |
| 3.754 | 0.03 | 457920 | 3.8699 |
| 3.7241 | 1.03 | 534240 | 3.8603 |
| 3.6953 | 0.03 | 610560 | 3.8520 |
| 3.6648 | 1.03 | 686880 | 3.8463 |
| 3.6391 | 0.03 | 763200 | 3.8440 |
| 3.6181 | 1.03 | 839520 | 3.8425 |
| 3.5968 | 0.03 | 915840 | 3.8439 |
| 3.5813 | 1.03 | 992160 | 3.8418 |
| 3.5607 | 0.03 | 1068480 | 3.8427 |
| 3.5409 | 1.03 | 1144800 | 3.8433 |
| 3.5305 | 0.03 | 1221120 | 3.8444 |
| 3.5122 | 1.03 | 1297440 | 3.8448 |
| 3.4994 | 0.03 | 1373760 | 3.8457 |
| 3.4845 | 1.03 | 1450080 | 3.8475 |
| 3.4776 | 0.03 | 1526400 | 3.8493 |
| 3.4657 | 1.03 | 1602720 | 3.8507 |
| 3.4584 | 0.03 | 1679040 | 3.8513 |
| 3.4537 | 1.03 | 1755360 | 3.8522 |
| 3.4416 | 0.03 | 1831680 | 3.8545 |
| 3.4273 | 0.03 | 1908000 | 3.8565 |
| 3.4147 | 1.03 | 1984320 | 3.8564 |
| 3.4051 | 0.03 | 2060640 | 3.8578 |
| 3.3912 | 1.03 | 2136960 | 3.8585 |
| 3.3848 | 0.03 | 2213280 | 3.8590 |
| 3.3723 | 1.03 | 2289600 | 3.8598 |
| 3.3586 | 0.03 | 2365920 | 3.8602 |
| 3.3545 | 1.03 | 2442240 | 3.8610 |
| 3.3408 | 0.03 | 2518560 | 3.8615 |
| 3.3335 | 1.03 | 2594880 | 3.8624 |
| 3.3191 | 0.03 | 2671200 | 3.8620 |
| 3.3152 | 1.03 | 2747520 | 3.8622 |
| 3.3084 | 0.03 | 2823840 | 3.8619 |
| 3.3053 | 1.03 | 2900160 | 3.8617 |
| 3.3031 | 0.03 | 2976480 | 3.8612 |
| 3.2954 | 1.02 | 3052726 | 3.8599 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3