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---
tags:
- generated_from_trainer
model-index:
- name: full2-transformer-4
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# full2-transformer-4
This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.8620
## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2223 | 0.03 | 76320 | 4.1935 |
| 4.0184 | 1.03 | 152640 | 4.0257 |
| 3.9091 | 0.03 | 228960 | 3.9515 |
| 3.845 | 1.03 | 305280 | 3.9101 |
| 3.7943 | 0.03 | 381600 | 3.8851 |
| 3.7537 | 0.03 | 457920 | 3.8688 |
| 3.7243 | 1.03 | 534240 | 3.8585 |
| 3.6946 | 0.03 | 610560 | 3.8522 |
| 3.6634 | 1.03 | 686880 | 3.8472 |
| 3.6406 | 0.03 | 763200 | 3.8446 |
| 3.6184 | 1.03 | 839520 | 3.8431 |
| 3.5959 | 0.03 | 915840 | 3.8432 |
| 3.5817 | 1.03 | 992160 | 3.8423 |
| 3.5621 | 0.03 | 1068480 | 3.8429 |
| 3.5438 | 1.03 | 1144800 | 3.8439 |
| 3.5273 | 0.03 | 1221120 | 3.8440 |
| 3.5096 | 1.03 | 1297440 | 3.8458 |
| 3.4966 | 0.03 | 1373760 | 3.8464 |
| 3.4822 | 1.03 | 1450080 | 3.8478 |
| 3.4746 | 0.03 | 1526400 | 3.8491 |
| 3.4649 | 1.03 | 1602720 | 3.8508 |
| 3.4573 | 0.03 | 1679040 | 3.8530 |
| 3.4517 | 1.03 | 1755360 | 3.8537 |
| 3.4416 | 0.03 | 1831680 | 3.8544 |
| 3.4297 | 1.03 | 1908000 | 3.8557 |
| 3.4193 | 0.03 | 1984320 | 3.8570 |
| 3.4087 | 1.03 | 2060640 | 3.8579 |
| 3.3961 | 0.03 | 2136960 | 3.8595 |
| 3.3885 | 1.03 | 2213280 | 3.8609 |
| 3.3768 | 0.03 | 2289600 | 3.8616 |
| 3.3645 | 1.03 | 2365920 | 3.8617 |
| 3.3515 | 0.03 | 2442240 | 3.8626 |
| 3.337 | 0.03 | 2518560 | 3.8631 |
| 3.3292 | 0.03 | 2594880 | 3.8627 |
| 3.3153 | 1.03 | 2671200 | 3.8646 |
| 3.3131 | 0.03 | 2747520 | 3.8646 |
| 3.3088 | 0.03 | 2823840 | 3.8638 |
| 3.3024 | 1.03 | 2900160 | 3.8636 |
| 3.3024 | 0.03 | 2976480 | 3.8629 |
| 3.2966 | 0.02 | 3052726 | 3.8620 |
### Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
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