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-4
  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-4

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: 3.8653

## 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: 4
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2239        | 0.03  | 76320   | 4.2000          |
| 4.0185        | 1.03  | 152640  | 4.0311          |
| 3.9082        | 0.03  | 228960  | 3.9570          |
| 3.8408        | 1.03  | 305280  | 3.9162          |
| 3.7875        | 0.03  | 381600  | 3.8915          |
| 3.7504        | 0.03  | 457920  | 3.8749          |
| 3.714         | 0.03  | 534240  | 3.8651          |
| 3.6838        | 1.03  | 610560  | 3.8578          |
| 3.653         | 0.03  | 686880  | 3.8533          |
| 3.6271        | 0.03  | 763200  | 3.8507          |
| 3.6035        | 1.03  | 839520  | 3.8488          |
| 3.5835        | 0.03  | 915840  | 3.8493          |
| 3.5632        | 1.03  | 992160  | 3.8480          |
| 3.5411        | 0.03  | 1068480 | 3.8489          |
| 3.526         | 1.03  | 1144800 | 3.8480          |
| 3.5207        | 0.03  | 1221120 | 3.8501          |
| 3.5065        | 1.03  | 1297440 | 3.8504          |
| 3.4937        | 0.03  | 1373760 | 3.8521          |
| 3.4765        | 0.03  | 1450080 | 3.8519          |
| 3.4732        | 1.03  | 1526400 | 3.8536          |
| 3.4609        | 0.03  | 1602720 | 3.8539          |
| 3.4555        | 1.03  | 1679040 | 3.8561          |
| 3.4434        | 0.03  | 1755360 | 3.8587          |
| 3.4322        | 1.03  | 1831680 | 3.8572          |
| 3.4171        | 0.03  | 1908000 | 3.8598          |
| 3.4075        | 1.03  | 1984320 | 3.8603          |
| 3.3926        | 0.03  | 2060640 | 3.8622          |
| 3.3797        | 1.03  | 2136960 | 3.8634          |
| 3.3691        | 0.03  | 2213280 | 3.8639          |
| 3.3537        | 1.03  | 2289600 | 3.8646          |
| 3.3441        | 0.03  | 2365920 | 3.8662          |
| 3.3449        | 0.03  | 2442240 | 3.8671          |
| 3.3353        | 1.03  | 2518560 | 3.8675          |
| 3.3273        | 0.03  | 2594880 | 3.8683          |
| 3.3138        | 1.03  | 2671200 | 3.8681          |
| 3.313         | 0.03  | 2747520 | 3.8675          |
| 3.3061        | 1.03  | 2823840 | 3.8680          |
| 3.3015        | 0.03  | 2900160 | 3.8674          |
| 3.2964        | 0.03  | 2976480 | 3.8666          |
| 3.2867        | 1.02  | 3052726 | 3.8653          |


### Framework versions

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