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-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. -->

# passive-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: 3.8666

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2246        | 0.03  | 76320   | 4.1998          |
| 4.0196        | 1.03  | 152640  | 4.0316          |
| 3.9115        | 0.03  | 228960  | 3.9575          |
| 3.8466        | 1.03  | 305280  | 3.9175          |
| 3.7925        | 0.03  | 381600  | 3.8923          |
| 3.7547        | 1.03  | 457920  | 3.8758          |
| 3.7202        | 0.03  | 534240  | 3.8653          |
| 3.6871        | 1.03  | 610560  | 3.8579          |
| 3.6566        | 0.03  | 686880  | 3.8538          |
| 3.632         | 1.03  | 763200  | 3.8516          |
| 3.6078        | 0.03  | 839520  | 3.8494          |
| 3.5885        | 0.03  | 915840  | 3.8490          |
| 3.5684        | 0.03  | 992160  | 3.8483          |
| 3.5442        | 1.03  | 1068480 | 3.8490          |
| 3.5301        | 0.03  | 1144800 | 3.8506          |
| 3.5246        | 1.03  | 1221120 | 3.8516          |
| 3.5082        | 0.03  | 1297440 | 3.8520          |
| 3.4965        | 1.03  | 1373760 | 3.8527          |
| 3.4799        | 0.03  | 1450080 | 3.8542          |
| 3.4728        | 1.03  | 1526400 | 3.8547          |
| 3.4651        | 0.03  | 1602720 | 3.8565          |
| 3.4555        | 1.03  | 1679040 | 3.8588          |
| 3.4457        | 0.03  | 1755360 | 3.8600          |
| 3.4346        | 1.03  | 1831680 | 3.8608          |
| 3.4183        | 0.03  | 1908000 | 3.8626          |
| 3.4085        | 1.03  | 1984320 | 3.8633          |
| 3.3948        | 0.03  | 2060640 | 3.8646          |
| 3.3859        | 1.03  | 2136960 | 3.8653          |
| 3.3726        | 0.03  | 2213280 | 3.8674          |
| 3.3573        | 1.03  | 2289600 | 3.8681          |
| 3.348         | 0.03  | 2365920 | 3.8678          |
| 3.3457        | 1.03  | 2442240 | 3.8681          |
| 3.3354        | 0.03  | 2518560 | 3.8695          |
| 3.3261        | 0.03  | 2594880 | 3.8703          |
| 3.3151        | 1.03  | 2671200 | 3.8703          |
| 3.3134        | 0.03  | 2747520 | 3.8707          |
| 3.3048        | 1.03  | 2823840 | 3.8698          |
| 3.3032        | 0.03  | 2900160 | 3.8695          |
| 3.2967        | 1.03  | 2976480 | 3.8684          |
| 3.2882        | 0.02  | 3052726 | 3.8666          |


### Framework versions

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