transformers pytorch opt text-generation generated_from_trainer autotrain_compatible endpoints_compatible text-generation-inference region:us
---
tags:
- generated_from_trainer
model-index:
- name: npi-sent-neg-transformer-0
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# npi-sent-neg-transformer-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: 3.8644

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2263        | 0.03  | 76320   | 4.1942          |
| 4.0233        | 1.03  | 152640  | 4.0254          |
| 3.9124        | 0.03  | 228960  | 3.9518          |
| 3.8483        | 1.03  | 305280  | 3.9111          |
| 3.7972        | 0.03  | 381600  | 3.8861          |
| 3.7587        | 0.03  | 457920  | 3.8696          |
| 3.7257        | 1.03  | 534240  | 3.8602          |
| 3.6965        | 0.03  | 610560  | 3.8530          |
| 3.6672        | 1.03  | 686880  | 3.8490          |
| 3.6399        | 0.03  | 763200  | 3.8469          |
| 3.615         | 1.03  | 839520  | 3.8436          |
| 3.5962        | 0.03  | 915840  | 3.8437          |
| 3.5761        | 1.03  | 992160  | 3.8429          |
| 3.5519        | 0.03  | 1068480 | 3.8437          |
| 3.5385        | 1.03  | 1144800 | 3.8449          |
| 3.5289        | 0.03  | 1221120 | 3.8472          |
| 3.5139        | 1.03  | 1297440 | 3.8467          |
| 3.4995        | 0.03  | 1373760 | 3.8477          |
| 3.484         | 1.03  | 1450080 | 3.8495          |
| 3.4794        | 0.03  | 1526400 | 3.8504          |
| 3.4708        | 1.03  | 1602720 | 3.8532          |
| 3.463         | 0.03  | 1679040 | 3.8535          |
| 3.4559        | 0.03  | 1755360 | 3.8553          |
| 3.4436        | 1.03  | 1831680 | 3.8574          |
| 3.4302        | 0.03  | 1908000 | 3.8588          |
| 3.4158        | 1.03  | 1984320 | 3.8599          |
| 3.4034        | 0.03  | 2060640 | 3.8619          |
| 3.3921        | 1.03  | 2136960 | 3.8620          |
| 3.3813        | 0.03  | 2213280 | 3.8634          |
| 3.3645        | 1.03  | 2289600 | 3.8654          |
| 3.3543        | 0.03  | 2365920 | 3.8664          |
| 3.3531        | 1.03  | 2442240 | 3.8659          |
| 3.3405        | 0.03  | 2518560 | 3.8673          |
| 3.3342        | 1.03  | 2594880 | 3.8674          |
| 3.3211        | 0.03  | 2671200 | 3.8680          |
| 3.3197        | 1.03  | 2747520 | 3.8682          |
| 3.3122        | 0.03  | 2823840 | 3.8678          |
| 3.3086        | 1.03  | 2900160 | 3.8668          |
| 3.3046        | 0.03  | 2976480 | 3.8665          |
| 3.2965        | 1.02  | 3052726 | 3.8644          |


### Framework versions

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