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---
tags:
- generated_from_trainer
model-index:
- name: det-adj-noun-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. -->
# det-adj-noun-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: 3.8622
## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2118 | 0.03 | 76320 | 4.1942 |
| 4.0104 | 1.03 | 152640 | 4.0267 |
| 3.9029 | 0.03 | 228960 | 3.9524 |
| 3.8382 | 1.03 | 305280 | 3.9109 |
| 3.7878 | 0.03 | 381600 | 3.8859 |
| 3.7506 | 1.03 | 457920 | 3.8703 |
| 3.7161 | 0.03 | 534240 | 3.8607 |
| 3.6852 | 1.03 | 610560 | 3.8536 |
| 3.6542 | 0.03 | 686880 | 3.8491 |
| 3.6276 | 0.03 | 763200 | 3.8462 |
| 3.6046 | 0.03 | 839520 | 3.8446 |
| 3.587 | 1.03 | 915840 | 3.8449 |
| 3.5718 | 0.03 | 992160 | 3.8450 |
| 3.5499 | 0.03 | 1068480 | 3.8459 |
| 3.5344 | 1.03 | 1144800 | 3.8458 |
| 3.5158 | 0.03 | 1221120 | 3.8468 |
| 3.4972 | 1.03 | 1297440 | 3.8480 |
| 3.4863 | 0.03 | 1373760 | 3.8487 |
| 3.4704 | 1.03 | 1450080 | 3.8510 |
| 3.4663 | 0.03 | 1526400 | 3.8527 |
| 3.4605 | 0.03 | 1602720 | 3.8529 |
| 3.4528 | 1.03 | 1679040 | 3.8554 |
| 3.4454 | 0.03 | 1755360 | 3.8565 |
| 3.4331 | 1.03 | 1831680 | 3.8578 |
| 3.4187 | 0.03 | 1908000 | 3.8578 |
| 3.4054 | 1.03 | 1984320 | 3.8609 |
| 3.3958 | 0.03 | 2060640 | 3.8603 |
| 3.3855 | 1.03 | 2136960 | 3.8621 |
| 3.3777 | 0.03 | 2213280 | 3.8636 |
| 3.3661 | 1.03 | 2289600 | 3.8650 |
| 3.3542 | 0.03 | 2365920 | 3.8647 |
| 3.3415 | 1.03 | 2442240 | 3.8658 |
| 3.3276 | 0.03 | 2518560 | 3.8661 |
| 3.3186 | 1.03 | 2594880 | 3.8663 |
| 3.3091 | 0.03 | 2671200 | 3.8661 |
| 3.3087 | 1.03 | 2747520 | 3.8655 |
| 3.3022 | 0.03 | 2823840 | 3.8666 |
| 3.3 | 1.03 | 2900160 | 3.8647 |
| 3.2955 | 0.03 | 2976480 | 3.8638 |
| 3.2843 | 1.02 | 3052726 | 3.8622 |
### Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
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