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

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# npi-only-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: 3.9705

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7826        | 0.03  | 76320   | 4.7510          |
| 4.5004        | 1.03  | 152640  | 4.4703          |
| 4.3575        | 0.03  | 228960  | 4.3375          |
| 4.2671        | 1.03  | 305280  | 4.2553          |
| 4.2064        | 0.03  | 381600  | 4.1993          |
| 4.1595        | 0.03  | 457920  | 4.1588          |
| 4.1245        | 1.03  | 534240  | 4.1278          |
| 4.0945        | 0.03  | 610560  | 4.1034          |
| 4.0642        | 1.03  | 686880  | 4.0842          |
| 4.0397        | 0.03  | 763200  | 4.0684          |
| 4.0162        | 1.03  | 839520  | 4.0550          |
| 3.9985        | 0.03  | 915840  | 4.0436          |
| 3.9823        | 1.03  | 992160  | 4.0350          |
| 3.9654        | 0.03  | 1068480 | 4.0271          |
| 3.9503        | 1.03  | 1144800 | 4.0206          |
| 3.9479        | 0.03  | 1221120 | 4.0142          |
| 3.931         | 1.03  | 1297440 | 4.0093          |
| 3.9237        | 0.03  | 1373760 | 4.0047          |
| 3.9141        | 1.03  | 1450080 | 4.0008          |
| 3.906         | 0.03  | 1526400 | 3.9974          |
| 3.9013        | 1.03  | 1602720 | 3.9938          |
| 3.8963        | 0.03  | 1679040 | 3.9907          |
| 3.8925        | 1.03  | 1755360 | 3.9887          |
| 3.8896        | 0.03  | 1831680 | 3.9860          |
| 3.8836        | 1.03  | 1908000 | 3.9843          |
| 3.8748        | 0.03  | 1984320 | 3.9827          |
| 3.8673        | 1.03  | 2060640 | 3.9812          |
| 3.8615        | 0.03  | 2136960 | 3.9798          |
| 3.8572        | 1.03  | 2213280 | 3.9788          |
| 3.8511        | 0.03  | 2289600 | 3.9777          |
| 3.8439        | 1.03  | 2365920 | 3.9765          |
| 3.8495        | 0.03  | 2442240 | 3.9754          |
| 3.8417        | 1.03  | 2518560 | 3.9744          |
| 3.8409        | 0.03  | 2594880 | 3.9737          |
| 3.835         | 1.03  | 2671200 | 3.9728          |
| 3.8324        | 0.03  | 2747520 | 3.9721          |
| 3.8345        | 0.03  | 2823840 | 3.9717          |
| 3.8342        | 1.03  | 2900160 | 3.9711          |
| 3.8352        | 0.03  | 2976480 | 3.9707          |
| 3.8367        | 0.02  | 3052726 | 3.9705          |


### Framework versions

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