transformers pytorch rnn generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: det-adj-noun-lstm-0
  results: []
---

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# det-adj-noun-lstm-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: 3.9742

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7911        | 0.03  | 76320   | 4.7676          |
| 4.5068        | 1.03  | 152640  | 4.4849          |
| 4.3624        | 0.03  | 228960  | 4.3482          |
| 4.2756        | 1.03  | 305280  | 4.2650          |
| 4.2135        | 0.03  | 381600  | 4.2077          |
| 4.1691        | 1.03  | 457920  | 4.1661          |
| 4.1315        | 0.03  | 534240  | 4.1344          |
| 4.0983        | 1.03  | 610560  | 4.1103          |
| 4.0679        | 0.03  | 686880  | 4.0905          |
| 4.043         | 1.03  | 763200  | 4.0746          |
| 4.02          | 0.03  | 839520  | 4.0614          |
| 4.0043        | 1.03  | 915840  | 4.0508          |
| 3.9927        | 0.03  | 992160  | 4.0414          |
| 3.9731        | 1.03  | 1068480 | 4.0326          |
| 3.9597        | 0.03  | 1144800 | 4.0265          |
| 3.9406        | 1.03  | 1221120 | 4.0200          |
| 3.9236        | 0.03  | 1297440 | 4.0154          |
| 3.9186        | 1.03  | 1373760 | 4.0102          |
| 3.9074        | 0.03  | 1450080 | 4.0053          |
| 3.9064        | 1.03  | 1526400 | 4.0017          |
| 3.9032        | 0.03  | 1602720 | 3.9986          |
| 3.9028        | 1.03  | 1679040 | 3.9961          |
| 3.9001        | 0.03  | 1755360 | 3.9938          |
| 3.8915        | 1.03  | 1831680 | 3.9918          |
| 3.8839        | 0.03  | 1908000 | 3.9899          |
| 3.8766        | 1.03  | 1984320 | 3.9880          |
| 3.8698        | 0.03  | 2060640 | 3.9862          |
| 3.867         | 0.03  | 2136960 | 3.9844          |
| 3.8652        | 1.03  | 2213280 | 3.9828          |
| 3.8564        | 0.03  | 2289600 | 3.9814          |
| 3.8518        | 1.03  | 2365920 | 3.9801          |
| 3.842         | 0.03  | 2442240 | 3.9789          |
| 3.8345        | 1.03  | 2518560 | 3.9784          |
| 3.8365        | 0.03  | 2594880 | 3.9775          |
| 3.8313        | 1.03  | 2671200 | 3.9767          |
| 3.8361        | 0.03  | 2747520 | 3.9759          |
| 3.8364        | 1.03  | 2823840 | 3.9753          |
| 3.8405        | 0.03  | 2900160 | 3.9749          |
| 3.8403        | 1.03  | 2976480 | 3.9745          |
| 3.8372        | 0.02  | 3052726 | 3.9742          |


### Framework versions

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