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-3
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# npi-sent-neg-transformer-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: 3.8617

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2262        | 0.03  | 76320   | 4.1956          |
| 4.0223        | 1.03  | 152640  | 4.0258          |
| 3.9126        | 0.03  | 228960  | 3.9506          |
| 3.848         | 1.03  | 305280  | 3.9106          |
| 3.7971        | 0.03  | 381600  | 3.8854          |
| 3.757         | 1.03  | 457920  | 3.8693          |
| 3.7273        | 0.03  | 534240  | 3.8582          |
| 3.6964        | 1.03  | 610560  | 3.8514          |
| 3.6653        | 0.03  | 686880  | 3.8471          |
| 3.6391        | 1.03  | 763200  | 3.8450          |
| 3.6146        | 0.03  | 839520  | 3.8437          |
| 3.5942        | 1.03  | 915840  | 3.8425          |
| 3.5746        | 0.03  | 992160  | 3.8427          |
| 3.5513        | 1.03  | 1068480 | 3.8427          |
| 3.5365        | 0.03  | 1144800 | 3.8443          |
| 3.526         | 1.03  | 1221120 | 3.8452          |
| 3.5139        | 0.03  | 1297440 | 3.8470          |
| 3.5014        | 1.03  | 1373760 | 3.8481          |
| 3.484         | 0.03  | 1450080 | 3.8494          |
| 3.4797        | 0.03  | 1526400 | 3.8495          |
| 3.4685        | 1.03  | 1602720 | 3.8519          |
| 3.4629        | 0.03  | 1679040 | 3.8526          |
| 3.4548        | 1.03  | 1755360 | 3.8548          |
| 3.4438        | 0.03  | 1831680 | 3.8551          |
| 3.4307        | 1.03  | 1908000 | 3.8565          |
| 3.4156        | 0.03  | 1984320 | 3.8581          |
| 3.4028        | 1.03  | 2060640 | 3.8594          |
| 3.3947        | 0.03  | 2136960 | 3.8606          |
| 3.3823        | 1.03  | 2213280 | 3.8617          |
| 3.3677        | 0.03  | 2289600 | 3.8629          |
| 3.3549        | 1.03  | 2365920 | 3.8635          |
| 3.3524        | 0.03  | 2442240 | 3.8646          |
| 3.3413        | 1.03  | 2518560 | 3.8642          |
| 3.3356        | 0.03  | 2594880 | 3.8645          |
| 3.322         | 1.03  | 2671200 | 3.8655          |
| 3.3186        | 0.03  | 2747520 | 3.8661          |
| 3.312         | 1.03  | 2823840 | 3.8650          |
| 3.3078        | 0.03  | 2900160 | 3.8645          |
| 3.3051        | 0.03  | 2976480 | 3.8630          |
| 3.2965        | 1.02  | 3052726 | 3.8617          |


### Framework versions

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