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---
tags:
- generated_from_trainer
model-index:
- name: det-noun-transformer-0
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-noun-transformer-0
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: 3.8633
## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2292 | 0.03 | 76320 | 4.1964 |
| 4.0231 | 1.03 | 152640 | 4.0266 |
| 3.9118 | 0.03 | 228960 | 3.9521 |
| 3.8436 | 0.03 | 305280 | 3.9110 |
| 3.7942 | 0.03 | 381600 | 3.8862 |
| 3.7539 | 1.03 | 457920 | 3.8700 |
| 3.7196 | 0.03 | 534240 | 3.8595 |
| 3.6867 | 1.03 | 610560 | 3.8529 |
| 3.6581 | 0.03 | 686880 | 3.8472 |
| 3.6307 | 1.03 | 763200 | 3.8468 |
| 3.6102 | 0.03 | 839520 | 3.8452 |
| 3.5881 | 1.03 | 915840 | 3.8435 |
| 3.5698 | 0.03 | 992160 | 3.8436 |
| 3.5469 | 1.03 | 1068480 | 3.8442 |
| 3.534 | 0.03 | 1144800 | 3.8449 |
| 3.5276 | 1.03 | 1221120 | 3.8466 |
| 3.5109 | 0.03 | 1297440 | 3.8462 |
| 3.4955 | 1.03 | 1373760 | 3.8491 |
| 3.4793 | 0.03 | 1450080 | 3.8501 |
| 3.4726 | 1.03 | 1526400 | 3.8517 |
| 3.467 | 0.03 | 1602720 | 3.8534 |
| 3.4575 | 1.03 | 1679040 | 3.8548 |
| 3.4476 | 0.03 | 1755360 | 3.8552 |
| 3.434 | 1.03 | 1831680 | 3.8573 |
| 3.421 | 0.03 | 1908000 | 3.8585 |
| 3.4096 | 1.03 | 1984320 | 3.8589 |
| 3.3989 | 0.03 | 2060640 | 3.8613 |
| 3.3901 | 1.03 | 2136960 | 3.8618 |
| 3.3776 | 0.03 | 2213280 | 3.8633 |
| 3.3624 | 1.03 | 2289600 | 3.8633 |
| 3.3544 | 0.03 | 2365920 | 3.8651 |
| 3.3519 | 1.03 | 2442240 | 3.8644 |
| 3.3423 | 0.03 | 2518560 | 3.8657 |
| 3.3295 | 1.03 | 2594880 | 3.8652 |
| 3.3192 | 0.03 | 2671200 | 3.8660 |
| 3.3124 | 1.03 | 2747520 | 3.8660 |
| 3.312 | 0.03 | 2823840 | 3.8658 |
| 3.3046 | 0.03 | 2900160 | 3.8652 |
| 3.2992 | 1.03 | 2976480 | 3.8642 |
| 3.2886 | 0.02 | 3052726 | 3.8633 |
### Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
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