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-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. -->

# passive-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: 3.8679

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2257        | 0.03  | 76320   | 4.2010          |
| 4.0198        | 1.03  | 152640  | 4.0338          |
| 3.9095        | 0.03  | 228960  | 3.9584          |
| 3.8455        | 0.03  | 305280  | 3.9177          |
| 3.7916        | 1.03  | 381600  | 3.8919          |
| 3.7537        | 0.03  | 457920  | 3.8756          |
| 3.717         | 1.03  | 534240  | 3.8662          |
| 3.6876        | 0.03  | 610560  | 3.8584          |
| 3.6572        | 1.03  | 686880  | 3.8533          |
| 3.633         | 0.03  | 763200  | 3.8511          |
| 3.6086        | 1.03  | 839520  | 3.8489          |
| 3.5888        | 0.03  | 915840  | 3.8485          |
| 3.569         | 0.03  | 992160  | 3.8475          |
| 3.544         | 1.03  | 1068480 | 3.8488          |
| 3.5304        | 0.03  | 1144800 | 3.8502          |
| 3.5249        | 1.03  | 1221120 | 3.8493          |
| 3.5083        | 0.03  | 1297440 | 3.8509          |
| 3.4965        | 1.03  | 1373760 | 3.8526          |
| 3.4795        | 0.03  | 1450080 | 3.8537          |
| 3.4755        | 1.03  | 1526400 | 3.8547          |
| 3.4649        | 0.03  | 1602720 | 3.8562          |
| 3.4587        | 1.03  | 1679040 | 3.8574          |
| 3.4474        | 0.03  | 1755360 | 3.8598          |
| 3.4365        | 1.03  | 1831680 | 3.8609          |
| 3.4218        | 0.03  | 1908000 | 3.8628          |
| 3.4091        | 1.03  | 1984320 | 3.8629          |
| 3.3976        | 0.03  | 2060640 | 3.8643          |
| 3.389         | 1.03  | 2136960 | 3.8659          |
| 3.3754        | 0.03  | 2213280 | 3.8660          |
| 3.3594        | 1.03  | 2289600 | 3.8670          |
| 3.3494        | 0.03  | 2365920 | 3.8681          |
| 3.3476        | 1.03  | 2442240 | 3.8692          |
| 3.3376        | 0.03  | 2518560 | 3.8689          |
| 3.3285        | 1.03  | 2594880 | 3.8697          |
| 3.3177        | 0.03  | 2671200 | 3.8697          |
| 3.3149        | 1.03  | 2747520 | 3.8698          |
| 3.306         | 0.03  | 2823840 | 3.8705          |
| 3.3021        | 0.03  | 2900160 | 3.8696          |
| 3.2969        | 1.03  | 2976480 | 3.8689          |
| 3.2904        | 0.02  | 3052726 | 3.8679          |


### Framework versions

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