transformers pytorch rnn generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: npi-only-lstm-4
  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-4

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: 3.9706

## 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: 4
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7842        | 0.03  | 76320   | 4.7527          |
| 4.4998        | 1.03  | 152640  | 4.4706          |
| 4.3572        | 0.03  | 228960  | 4.3365          |
| 4.2678        | 1.03  | 305280  | 4.2554          |
| 4.2074        | 0.03  | 381600  | 4.1993          |
| 4.1611        | 0.03  | 457920  | 4.1584          |
| 4.124         | 1.03  | 534240  | 4.1284          |
| 4.0944        | 0.03  | 610560  | 4.1041          |
| 4.0657        | 1.03  | 686880  | 4.0844          |
| 4.0387        | 0.03  | 763200  | 4.0687          |
| 4.0176        | 1.03  | 839520  | 4.0560          |
| 3.9991        | 0.03  | 915840  | 4.0455          |
| 3.9839        | 1.03  | 992160  | 4.0365          |
| 3.9667        | 0.03  | 1068480 | 4.0277          |
| 3.9517        | 1.03  | 1144800 | 4.0214          |
| 3.9502        | 0.03  | 1221120 | 4.0157          |
| 3.9349        | 1.03  | 1297440 | 4.0106          |
| 3.9256        | 0.03  | 1373760 | 4.0061          |
| 3.9164        | 1.03  | 1450080 | 4.0017          |
| 3.9074        | 0.03  | 1526400 | 3.9981          |
| 3.9035        | 1.03  | 1602720 | 3.9951          |
| 3.9005        | 0.03  | 1679040 | 3.9921          |
| 3.8957        | 1.03  | 1755360 | 3.9897          |
| 3.8926        | 0.03  | 1831680 | 3.9872          |
| 3.8848        | 1.03  | 1908000 | 3.9855          |
| 3.8765        | 0.03  | 1984320 | 3.9838          |
| 3.8697        | 1.03  | 2060640 | 3.9820          |
| 3.8651        | 0.03  | 2136960 | 3.9800          |
| 3.8594        | 1.03  | 2213280 | 3.9783          |
| 3.8534        | 0.03  | 2289600 | 3.9772          |
| 3.8469        | 1.03  | 2365920 | 3.9761          |
| 3.8539        | 0.03  | 2442240 | 3.9754          |
| 3.8443        | 1.03  | 2518560 | 3.9743          |
| 3.8401        | 0.03  | 2594880 | 3.9737          |
| 3.8388        | 1.03  | 2671200 | 3.9727          |
| 3.8347        | 0.03  | 2747520 | 3.9720          |
| 3.8367        | 1.03  | 2823840 | 3.9715          |
| 3.837         | 0.03  | 2900160 | 3.9711          |
| 3.8384        | 0.03  | 2976480 | 3.9706          |
| 3.8395        | 1.02  | 3052726 | 3.9706          |


### Framework versions

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