---
tags:
- generated_from_trainer
model-index:
- name: det-noun-lstm-1
  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-lstm-1

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: 3.9717

## 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: 1
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.8048        | 0.03  | 76320   | 4.7692          |
| 4.5159        | 1.03  | 152640  | 4.4852          |
| 4.3691        | 0.03  | 228960  | 4.3476          |
| 4.2797        | 1.03  | 305280  | 4.2637          |
| 4.2204        | 0.03  | 381600  | 4.2065          |
| 4.1733        | 1.03  | 457920  | 4.1648          |
| 4.1326        | 0.03  | 534240  | 4.1336          |
| 4.0967        | 1.03  | 610560  | 4.1082          |
| 4.0679        | 0.03  | 686880  | 4.0879          |
| 4.0421        | 1.03  | 763200  | 4.0721          |
| 4.0218        | 0.03  | 839520  | 4.0580          |
| 4.0062        | 1.03  | 915840  | 4.0475          |
| 3.9891        | 0.03  | 992160  | 4.0381          |
| 3.9682        | 0.03  | 1068480 | 4.0299          |
| 3.9583        | 1.03  | 1144800 | 4.0224          |
| 3.9536        | 0.03  | 1221120 | 4.0173          |
| 3.9398        | 1.03  | 1297440 | 4.0119          |
| 3.9296        | 0.03  | 1373760 | 4.0071          |
| 3.9182        | 1.03  | 1450080 | 4.0036          |
| 3.9138        | 0.03  | 1526400 | 4.0002          |
| 3.9124        | 1.03  | 1602720 | 3.9966          |
| 3.9072        | 0.03  | 1679040 | 3.9941          |
| 3.9015        | 1.03  | 1755360 | 3.9915          |
| 3.8912        | 0.03  | 1831680 | 3.9895          |
| 3.8851        | 1.03  | 1908000 | 3.9876          |
| 3.8767        | 0.03  | 1984320 | 3.9853          |
| 3.8708        | 0.03  | 2060640 | 3.9833          |
| 3.8676        | 1.03  | 2136960 | 3.9817          |
| 3.8631        | 0.03  | 2213280 | 3.9802          |
| 3.8513        | 1.03  | 2289600 | 3.9791          |
| 3.8494        | 0.03  | 2365920 | 3.9776          |
| 3.8548        | 1.03  | 2442240 | 3.9767          |
| 3.8471        | 0.03  | 2518560 | 3.9757          |
| 3.8443        | 0.03  | 2594880 | 3.9748          |
| 3.8389        | 1.03  | 2671200 | 3.9741          |
| 3.8405        | 0.03  | 2747520 | 3.9735          |
| 3.8435        | 1.03  | 2823840 | 3.9728          |
| 3.844         | 0.03  | 2900160 | 3.9724          |
| 3.8434        | 0.03  | 2976480 | 3.9719          |
| 3.8385        | 0.02  | 3052726 | 3.9717          |


### Framework versions

- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3