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-1
  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-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: 3.8636

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2248        | 0.03  | 76320   | 4.1938          |
| 4.0218        | 1.03  | 152640  | 4.0261          |
| 3.9131        | 0.03  | 228960  | 3.9530          |
| 3.8486        | 0.03  | 305280  | 3.9122          |
| 3.7965        | 0.03  | 381600  | 3.8872          |
| 3.759         | 1.03  | 457920  | 3.8708          |
| 3.7248        | 0.03  | 534240  | 3.8603          |
| 3.6946        | 1.03  | 610560  | 3.8539          |
| 3.6656        | 0.03  | 686880  | 3.8500          |
| 3.6385        | 1.03  | 763200  | 3.8464          |
| 3.6117        | 0.03  | 839520  | 3.8446          |
| 3.5963        | 1.03  | 915840  | 3.8448          |
| 3.5749        | 0.03  | 992160  | 3.8438          |
| 3.5527        | 1.03  | 1068480 | 3.8452          |
| 3.5389        | 0.03  | 1144800 | 3.8448          |
| 3.5297        | 0.03  | 1221120 | 3.8458          |
| 3.5136        | 1.03  | 1297440 | 3.8484          |
| 3.502         | 0.03  | 1373760 | 3.8504          |
| 3.4871        | 1.03  | 1450080 | 3.8496          |
| 3.4814        | 0.03  | 1526400 | 3.8519          |
| 3.4706        | 1.03  | 1602720 | 3.8534          |
| 3.4648        | 0.03  | 1679040 | 3.8558          |
| 3.4547        | 1.03  | 1755360 | 3.8561          |
| 3.4429        | 0.03  | 1831680 | 3.8580          |
| 3.4308        | 1.03  | 1908000 | 3.8594          |
| 3.4165        | 0.03  | 1984320 | 3.8602          |
| 3.4017        | 1.03  | 2060640 | 3.8624          |
| 3.3941        | 0.03  | 2136960 | 3.8633          |
| 3.3812        | 1.03  | 2213280 | 3.8635          |
| 3.3666        | 0.03  | 2289600 | 3.8648          |
| 3.3561        | 1.03  | 2365920 | 3.8657          |
| 3.3549        | 0.03  | 2442240 | 3.8659          |
| 3.3444        | 1.03  | 2518560 | 3.8666          |
| 3.3371        | 0.03  | 2594880 | 3.8665          |
| 3.3215        | 1.03  | 2671200 | 3.8671          |
| 3.3212        | 0.03  | 2747520 | 3.8670          |
| 3.3149        | 1.03  | 2823840 | 3.8665          |
| 3.3114        | 0.03  | 2900160 | 3.8657          |
| 3.3055        | 0.03  | 2976480 | 3.8652          |
| 3.2981        | 1.02  | 3052726 | 3.8636          |


### Framework versions

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