transformers pytorch rnn generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: det-adj-noun-lstm-3
  results: []
---

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# det-adj-noun-lstm-3

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: 3.9729

## 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: 3
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7865        | 0.03  | 76320   | 4.7655          |
| 4.5014        | 1.03  | 152640  | 4.4803          |
| 4.357         | 0.03  | 228960  | 4.3448          |
| 4.2746        | 1.03  | 305280  | 4.2627          |
| 4.2134        | 0.03  | 381600  | 4.2055          |
| 4.1681        | 1.03  | 457920  | 4.1649          |
| 4.1319        | 0.03  | 534240  | 4.1338          |
| 4.0967        | 0.03  | 610560  | 4.1083          |
| 4.0688        | 1.03  | 686880  | 4.0887          |
| 4.0435        | 0.03  | 763200  | 4.0728          |
| 4.0213        | 1.03  | 839520  | 4.0602          |
| 4.007         | 0.03  | 915840  | 4.0491          |
| 3.9926        | 0.03  | 992160  | 4.0395          |
| 3.9758        | 1.03  | 1068480 | 4.0313          |
| 3.9616        | 0.03  | 1144800 | 4.0245          |
| 3.9443        | 1.03  | 1221120 | 4.0189          |
| 3.929         | 0.03  | 1297440 | 4.0137          |
| 3.9226        | 1.03  | 1373760 | 4.0093          |
| 3.913         | 0.03  | 1450080 | 4.0050          |
| 3.9104        | 1.03  | 1526400 | 4.0012          |
| 3.9075        | 0.03  | 1602720 | 3.9980          |
| 3.9042        | 1.03  | 1679040 | 3.9953          |
| 3.9012        | 0.03  | 1755360 | 3.9925          |
| 3.8945        | 0.03  | 1831680 | 3.9904          |
| 3.8853        | 1.03  | 1908000 | 3.9881          |
| 3.8797        | 0.03  | 1984320 | 3.9867          |
| 3.8727        | 1.03  | 2060640 | 3.9846          |
| 3.8701        | 0.03  | 2136960 | 3.9831          |
| 3.8683        | 1.03  | 2213280 | 3.9813          |
| 3.8597        | 0.03  | 2289600 | 3.9802          |
| 3.8565        | 1.03  | 2365920 | 3.9789          |
| 3.8453        | 0.03  | 2442240 | 3.9779          |
| 3.8402        | 1.03  | 2518560 | 3.9768          |
| 3.839         | 0.03  | 2594880 | 3.9759          |
| 3.8357        | 1.03  | 2671200 | 3.9754          |
| 3.8394        | 0.03  | 2747520 | 3.9748          |
| 3.841         | 1.03  | 2823840 | 3.9741          |
| 3.8421        | 0.03  | 2900160 | 3.9737          |
| 3.8454        | 1.03  | 2976480 | 3.9732          |
| 3.8433        | 0.02  | 3052726 | 3.9729          |


### Framework versions

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