transformers pytorch rnn generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: npi-sent-neg-lstm-0
  results: []
---

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# npi-sent-neg-lstm-0

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: 3.9701

## 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: 0
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7883        | 0.03  | 76320   | 4.7537          |
| 4.5088        | 1.03  | 152640  | 4.4753          |
| 4.3647        | 0.03  | 228960  | 4.3413          |
| 4.2824        | 1.03  | 305280  | 4.2585          |
| 4.2205        | 0.03  | 381600  | 4.2020          |
| 4.174         | 1.03  | 457920  | 4.1605          |
| 4.137         | 0.03  | 534240  | 4.1297          |
| 4.1041        | 1.03  | 610560  | 4.1052          |
| 4.0763        | 0.03  | 686880  | 4.0858          |
| 4.0498        | 1.03  | 763200  | 4.0700          |
| 4.0274        | 0.03  | 839520  | 4.0568          |
| 4.0103        | 1.03  | 915840  | 4.0457          |
| 3.9939        | 0.03  | 992160  | 4.0371          |
| 3.9743        | 1.03  | 1068480 | 4.0290          |
| 3.9629        | 0.03  | 1144800 | 4.0221          |
| 3.9522        | 1.03  | 1221120 | 4.0161          |
| 3.9413        | 0.03  | 1297440 | 4.0110          |
| 3.9311        | 1.03  | 1373760 | 4.0061          |
| 3.9173        | 0.03  | 1450080 | 4.0017          |
| 3.9193        | 1.03  | 1526400 | 3.9984          |
| 3.915         | 0.03  | 1602720 | 3.9950          |
| 3.9106        | 0.03  | 1679040 | 3.9924          |
| 3.9078        | 1.03  | 1755360 | 3.9899          |
| 3.9025        | 0.03  | 1831680 | 3.9875          |
| 3.8921        | 1.03  | 1908000 | 3.9853          |
| 3.8835        | 0.03  | 1984320 | 3.9830          |
| 3.8781        | 1.03  | 2060640 | 3.9807          |
| 3.8727        | 0.03  | 2136960 | 3.9793          |
| 3.8668        | 1.03  | 2213280 | 3.9784          |
| 3.8576        | 0.03  | 2289600 | 3.9774          |
| 3.8531        | 1.03  | 2365920 | 3.9759          |
| 3.8521        | 0.03  | 2442240 | 3.9750          |
| 3.849         | 1.03  | 2518560 | 3.9738          |
| 3.8478        | 0.03  | 2594880 | 3.9727          |
| 3.8397        | 1.03  | 2671200 | 3.9721          |
| 3.8471        | 0.03  | 2747520 | 3.9714          |
| 3.847         | 1.03  | 2823840 | 3.9709          |
| 3.8492        | 0.03  | 2900160 | 3.9707          |
| 3.851         | 1.03  | 2976480 | 3.9702          |
| 3.8478        | 0.02  | 3052726 | 3.9701          |


### Framework versions

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