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-2
  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-2

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: 3.8611

## 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: 2
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2269        | 0.03  | 76320   | 4.1959          |
| 4.0235        | 1.03  | 152640  | 4.0265          |
| 3.9131        | 0.03  | 228960  | 3.9513          |
| 3.85          | 1.03  | 305280  | 3.9115          |
| 3.7981        | 0.03  | 381600  | 3.8858          |
| 3.7602        | 0.03  | 457920  | 3.8691          |
| 3.7266        | 1.03  | 534240  | 3.8585          |
| 3.6964        | 0.03  | 610560  | 3.8516          |
| 3.6658        | 1.03  | 686880  | 3.8458          |
| 3.6398        | 0.03  | 763200  | 3.8438          |
| 3.6126        | 1.03  | 839520  | 3.8424          |
| 3.5966        | 0.03  | 915840  | 3.8418          |
| 3.5748        | 1.03  | 992160  | 3.8420          |
| 3.5537        | 0.03  | 1068480 | 3.8422          |
| 3.5371        | 1.03  | 1144800 | 3.8425          |
| 3.5303        | 0.03  | 1221120 | 3.8431          |
| 3.5156        | 1.03  | 1297440 | 3.8453          |
| 3.504         | 0.03  | 1373760 | 3.8461          |
| 3.4866        | 1.03  | 1450080 | 3.8476          |
| 3.4807        | 0.03  | 1526400 | 3.8488          |
| 3.4697        | 1.03  | 1602720 | 3.8503          |
| 3.4651        | 0.03  | 1679040 | 3.8521          |
| 3.4555        | 1.03  | 1755360 | 3.8523          |
| 3.446         | 0.03  | 1831680 | 3.8536          |
| 3.4332        | 1.03  | 1908000 | 3.8547          |
| 3.4185        | 0.03  | 1984320 | 3.8568          |
| 3.4035        | 1.03  | 2060640 | 3.8581          |
| 3.3945        | 0.03  | 2136960 | 3.8584          |
| 3.3798        | 1.03  | 2213280 | 3.8600          |
| 3.3664        | 0.03  | 2289600 | 3.8602          |
| 3.3548        | 1.03  | 2365920 | 3.8620          |
| 3.354         | 0.03  | 2442240 | 3.8621          |
| 3.3438        | 1.03  | 2518560 | 3.8629          |
| 3.3356        | 0.03  | 2594880 | 3.8631          |
| 3.3239        | 1.03  | 2671200 | 3.8638          |
| 3.3196        | 0.03  | 2747520 | 3.8636          |
| 3.3136        | 1.03  | 2823840 | 3.8638          |
| 3.3111        | 0.03  | 2900160 | 3.8632          |
| 3.3051        | 0.03  | 2976480 | 3.8617          |
| 3.2997        | 0.02  | 3052726 | 3.8611          |


### Framework versions

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