transformers pytorch opt text-generation generated_from_trainer autotrain_compatible endpoints_compatible text-generation-inference region:us
---
tags:
- generated_from_trainer
model-index:
- name: passive-transformer-1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# passive-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: 3.8708

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2233        | 0.03  | 76320   | 4.2009          |
| 4.0186        | 1.03  | 152640  | 4.0327          |
| 3.9093        | 0.03  | 228960  | 3.9579          |
| 3.8464        | 0.03  | 305280  | 3.9175          |
| 3.7922        | 1.03  | 381600  | 3.8925          |
| 3.7538        | 0.03  | 457920  | 3.8767          |
| 3.7207        | 1.03  | 534240  | 3.8663          |
| 3.6892        | 0.03  | 610560  | 3.8588          |
| 3.6577        | 0.03  | 686880  | 3.8554          |
| 3.6329        | 0.03  | 763200  | 3.8524          |
| 3.6085        | 0.03  | 839520  | 3.8515          |
| 3.5871        | 1.03  | 915840  | 3.8497          |
| 3.5675        | 0.03  | 992160  | 3.8501          |
| 3.5461        | 0.03  | 1068480 | 3.8502          |
| 3.5295        | 1.03  | 1144800 | 3.8507          |
| 3.5249        | 0.03  | 1221120 | 3.8521          |
| 3.5096        | 1.03  | 1297440 | 3.8524          |
| 3.4973        | 0.03  | 1373760 | 3.8528          |
| 3.4814        | 1.03  | 1450080 | 3.8544          |
| 3.4748        | 0.03  | 1526400 | 3.8569          |
| 3.466         | 1.03  | 1602720 | 3.8589          |
| 3.4584        | 0.03  | 1679040 | 3.8598          |
| 3.4465        | 1.03  | 1755360 | 3.8605          |
| 3.4372        | 0.03  | 1831680 | 3.8623          |
| 3.4203        | 1.03  | 1908000 | 3.8628          |
| 3.4095        | 0.03  | 1984320 | 3.8649          |
| 3.3955        | 1.03  | 2060640 | 3.8660          |
| 3.385         | 0.03  | 2136960 | 3.8678          |
| 3.3718        | 1.03  | 2213280 | 3.8686          |
| 3.3586        | 0.03  | 2289600 | 3.8694          |
| 3.3473        | 1.03  | 2365920 | 3.8713          |
| 3.3472        | 0.03  | 2442240 | 3.8706          |
| 3.3381        | 1.03  | 2518560 | 3.8725          |
| 3.3276        | 0.03  | 2594880 | 3.8720          |
| 3.3171        | 0.03  | 2671200 | 3.8721          |
| 3.3129        | 0.03  | 2747520 | 3.8727          |
| 3.3068        | 1.03  | 2823840 | 3.8731          |
| 3.3017        | 0.03  | 2900160 | 3.8719          |
| 3.2974        | 1.03  | 2976480 | 3.8718          |
| 3.2884        | 0.02  | 3052726 | 3.8708          |


### Framework versions

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