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-0
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# passive-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: 3.8696

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2225        | 0.03  | 76320   | 4.2001          |
| 4.0189        | 1.03  | 152640  | 4.0316          |
| 3.9092        | 0.03  | 228960  | 3.9577          |
| 3.8447        | 1.03  | 305280  | 3.9168          |
| 3.7901        | 0.03  | 381600  | 3.8921          |
| 3.7531        | 1.03  | 457920  | 3.8760          |
| 3.7174        | 0.03  | 534240  | 3.8659          |
| 3.6872        | 1.03  | 610560  | 3.8589          |
| 3.6568        | 0.03  | 686880  | 3.8544          |
| 3.6319        | 1.03  | 763200  | 3.8517          |
| 3.6089        | 0.03  | 839520  | 3.8504          |
| 3.5884        | 1.03  | 915840  | 3.8495          |
| 3.566         | 0.03  | 992160  | 3.8500          |
| 3.5449        | 1.03  | 1068480 | 3.8502          |
| 3.5304        | 0.03  | 1144800 | 3.8498          |
| 3.5208        | 1.03  | 1221120 | 3.8510          |
| 3.5053        | 0.03  | 1297440 | 3.8518          |
| 3.4939        | 1.03  | 1373760 | 3.8523          |
| 3.4765        | 0.03  | 1450080 | 3.8561          |
| 3.4718        | 1.03  | 1526400 | 3.8568          |
| 3.4599        | 0.03  | 1602720 | 3.8594          |
| 3.4541        | 1.03  | 1679040 | 3.8597          |
| 3.4434        | 0.03  | 1755360 | 3.8611          |
| 3.4334        | 1.03  | 1831680 | 3.8617          |
| 3.4173        | 0.03  | 1908000 | 3.8632          |
| 3.4093        | 1.03  | 1984320 | 3.8642          |
| 3.3955        | 0.03  | 2060640 | 3.8664          |
| 3.3859        | 1.03  | 2136960 | 3.8668          |
| 3.3728        | 0.03  | 2213280 | 3.8681          |
| 3.3587        | 1.03  | 2289600 | 3.8685          |
| 3.3485        | 0.03  | 2365920 | 3.8694          |
| 3.3432        | 1.03  | 2442240 | 3.8703          |
| 3.3338        | 0.03  | 2518560 | 3.8714          |
| 3.3265        | 1.03  | 2594880 | 3.8717          |
| 3.3135        | 0.03  | 2671200 | 3.8721          |
| 3.3111        | 1.03  | 2747520 | 3.8721          |
| 3.3045        | 0.03  | 2823840 | 3.8724          |
| 3.3015        | 1.03  | 2900160 | 3.8717          |
| 3.2961        | 0.03  | 2976480 | 3.8713          |
| 3.288         | 1.02  | 3052726 | 3.8696          |


### Framework versions

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