transformers pytorch rnn generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: npi-sim-ques-lstm-1
  results: []
---

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# npi-sim-ques-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: 3.9738

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.808         | 0.03  | 76320   | 4.7646          |
| 4.517         | 1.03  | 152640  | 4.4810          |
| 4.3769        | 0.03  | 228960  | 4.3454          |
| 4.2883        | 1.03  | 305280  | 4.2620          |
| 4.2251        | 0.03  | 381600  | 4.2058          |
| 4.1783        | 1.03  | 457920  | 4.1642          |
| 4.1398        | 0.03  | 534240  | 4.1328          |
| 4.1063        | 1.03  | 610560  | 4.1090          |
| 4.0768        | 0.03  | 686880  | 4.0893          |
| 4.0513        | 1.03  | 763200  | 4.0727          |
| 4.0319        | 0.03  | 839520  | 4.0599          |
| 4.0156        | 1.03  | 915840  | 4.0485          |
| 3.9952        | 0.03  | 992160  | 4.0396          |
| 3.9764        | 1.03  | 1068480 | 4.0313          |
| 3.9656        | 0.03  | 1144800 | 4.0246          |
| 3.9602        | 1.03  | 1221120 | 4.0185          |
| 3.9491        | 0.03  | 1297440 | 4.0136          |
| 3.9384        | 1.03  | 1373760 | 4.0097          |
| 3.9339        | 0.03  | 1450080 | 4.0058          |
| 3.9252        | 0.03  | 1526400 | 4.0019          |
| 3.919         | 1.03  | 1602720 | 3.9987          |
| 3.9154        | 0.03  | 1679040 | 3.9963          |
| 3.9118        | 1.03  | 1755360 | 3.9935          |
| 3.903         | 0.03  | 1831680 | 3.9915          |
| 3.8975        | 1.03  | 1908000 | 3.9888          |
| 3.8895        | 0.03  | 1984320 | 3.9869          |
| 3.8837        | 1.03  | 2060640 | 3.9851          |
| 3.8809        | 0.03  | 2136960 | 3.9834          |
| 3.8705        | 1.03  | 2213280 | 3.9819          |
| 3.8621        | 0.03  | 2289600 | 3.9805          |
| 3.8598        | 1.03  | 2365920 | 3.9793          |
| 3.865         | 0.03  | 2442240 | 3.9782          |
| 3.8602        | 0.03  | 2518560 | 3.9776          |
| 3.8551        | 1.03  | 2594880 | 3.9768          |
| 3.8547        | 0.03  | 2671200 | 3.9762          |
| 3.8535        | 1.03  | 2747520 | 3.9755          |
| 3.853         | 0.03  | 2823840 | 3.9751          |
| 3.8554        | 0.03  | 2900160 | 3.9744          |
| 3.8553        | 0.03  | 2976480 | 3.9741          |
| 3.8517        | 1.02  | 3052726 | 3.9738          |


### Framework versions

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