transformers pytorch rnn generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: npi-sim-ques-lstm-3
  results: []
---

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# npi-sim-ques-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: 3.9715

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.8041        | 0.03  | 76320   | 4.7586          |
| 4.5148        | 1.03  | 152640  | 4.4771          |
| 4.3758        | 0.03  | 228960  | 4.3429          |
| 4.286         | 1.03  | 305280  | 4.2606          |
| 4.2235        | 0.03  | 381600  | 4.2032          |
| 4.1769        | 1.03  | 457920  | 4.1622          |
| 4.1388        | 0.03  | 534240  | 4.1311          |
| 4.1054        | 1.03  | 610560  | 4.1065          |
| 4.0766        | 0.03  | 686880  | 4.0882          |
| 4.0509        | 1.03  | 763200  | 4.0714          |
| 4.0307        | 0.03  | 839520  | 4.0580          |
| 4.0163        | 1.03  | 915840  | 4.0468          |
| 3.9939        | 0.03  | 992160  | 4.0374          |
| 3.9762        | 0.03  | 1068480 | 4.0297          |
| 3.9649        | 1.03  | 1144800 | 4.0224          |
| 3.9597        | 0.03  | 1221120 | 4.0163          |
| 3.9488        | 1.03  | 1297440 | 4.0111          |
| 3.9365        | 0.03  | 1373760 | 4.0063          |
| 3.9318        | 1.03  | 1450080 | 4.0024          |
| 3.9244        | 0.03  | 1526400 | 3.9980          |
| 3.9184        | 1.03  | 1602720 | 3.9953          |
| 3.9142        | 0.03  | 1679040 | 3.9931          |
| 3.9091        | 1.03  | 1755360 | 3.9907          |
| 3.9024        | 0.03  | 1831680 | 3.9885          |
| 3.8957        | 1.03  | 1908000 | 3.9863          |
| 3.8879        | 0.03  | 1984320 | 3.9844          |
| 3.8829        | 1.03  | 2060640 | 3.9828          |
| 3.8797        | 0.03  | 2136960 | 3.9809          |
| 3.8701        | 1.03  | 2213280 | 3.9796          |
| 3.8611        | 0.03  | 2289600 | 3.9784          |
| 3.8603        | 0.03  | 2365920 | 3.9774          |
| 3.8637        | 1.03  | 2442240 | 3.9764          |
| 3.8601        | 0.03  | 2518560 | 3.9757          |
| 3.8531        | 0.03  | 2594880 | 3.9747          |
| 3.855         | 0.03  | 2671200 | 3.9740          |
| 3.8516        | 1.03  | 2747520 | 3.9734          |
| 3.8512        | 0.03  | 2823840 | 3.9728          |
| 3.852         | 0.03  | 2900160 | 3.9722          |
| 3.8529        | 1.03  | 2976480 | 3.9717          |
| 3.8489        | 0.02  | 3052726 | 3.9715          |


### Framework versions

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