transformers pytorch rnn generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: det-adj-noun-lstm-1
  results: []
---

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# det-adj-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: 3.9727

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7832        | 0.03  | 76320   | 4.7597          |
| 4.4992        | 1.03  | 152640  | 4.4788          |
| 4.3571        | 0.03  | 228960  | 4.3438          |
| 4.272         | 1.03  | 305280  | 4.2605          |
| 4.2094        | 0.03  | 381600  | 4.2038          |
| 4.1669        | 1.03  | 457920  | 4.1628          |
| 4.1303        | 0.03  | 534240  | 4.1326          |
| 4.0933        | 1.03  | 610560  | 4.1074          |
| 4.0657        | 0.03  | 686880  | 4.0887          |
| 4.0392        | 1.03  | 763200  | 4.0723          |
| 4.0198        | 0.03  | 839520  | 4.0596          |
| 4.0043        | 1.03  | 915840  | 4.0480          |
| 3.9927        | 0.03  | 992160  | 4.0387          |
| 3.9725        | 1.03  | 1068480 | 4.0308          |
| 3.9583        | 0.03  | 1144800 | 4.0238          |
| 3.9411        | 1.03  | 1221120 | 4.0183          |
| 3.9254        | 0.03  | 1297440 | 4.0133          |
| 3.9197        | 1.03  | 1373760 | 4.0086          |
| 3.9094        | 0.03  | 1450080 | 4.0041          |
| 3.9077        | 1.03  | 1526400 | 4.0009          |
| 3.9019        | 0.03  | 1602720 | 3.9976          |
| 3.9002        | 1.03  | 1679040 | 3.9948          |
| 3.899         | 0.03  | 1755360 | 3.9922          |
| 3.8897        | 1.03  | 1831680 | 3.9904          |
| 3.8814        | 0.03  | 1908000 | 3.9883          |
| 3.8736        | 1.03  | 1984320 | 3.9864          |
| 3.8683        | 0.03  | 2060640 | 3.9846          |
| 3.8652        | 1.03  | 2136960 | 3.9830          |
| 3.8635        | 0.03  | 2213280 | 3.9815          |
| 3.8543        | 1.03  | 2289600 | 3.9798          |
| 3.8502        | 0.03  | 2365920 | 3.9782          |
| 3.8411        | 1.03  | 2442240 | 3.9775          |
| 3.8327        | 0.03  | 2518560 | 3.9765          |
| 3.8332        | 1.03  | 2594880 | 3.9755          |
| 3.8276        | 0.03  | 2671200 | 3.9749          |
| 3.8342        | 1.03  | 2747520 | 3.9743          |
| 3.8353        | 0.03  | 2823840 | 3.9737          |
| 3.8354        | 1.03  | 2900160 | 3.9734          |
| 3.8389        | 0.03  | 2976480 | 3.9730          |
| 3.835         | 1.02  | 3052726 | 3.9727          |


### Framework versions

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