transformers pytorch opt text-generation generated_from_trainer autotrain_compatible endpoints_compatible text-generation-inference region:us
---
tags:
- generated_from_trainer
model-index:
- name: pp-mod-subj2-transformer-1
  results: []
---

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# pp-mod-subj2-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: 3.9262

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2239        | 0.03  | 76320   | 4.2376          |
| 4.0224        | 1.03  | 152640  | 4.0686          |
| 3.9119        | 0.03  | 228960  | 3.9972          |
| 3.844         | 1.03  | 305280  | 3.9558          |
| 3.7955        | 0.03  | 381600  | 3.9310          |
| 3.7466        | 1.03  | 457920  | 3.9171          |
| 3.7114        | 0.03  | 534240  | 3.9071          |
| 3.678         | 1.03  | 610560  | 3.9014          |
| 3.6505        | 0.03  | 686880  | 3.8976          |
| 3.6283        | 1.03  | 763200  | 3.8972          |
| 3.604         | 0.03  | 839520  | 3.8951          |
| 3.5821        | 1.03  | 915840  | 3.8951          |
| 3.5663        | 0.03  | 992160  | 3.8951          |
| 3.5503        | 1.03  | 1068480 | 3.8963          |
| 3.5299        | 0.03  | 1144800 | 3.8980          |
| 3.5172        | 1.03  | 1221120 | 3.8993          |
| 3.5033        | 0.03  | 1297440 | 3.9014          |
| 3.4932        | 1.03  | 1373760 | 3.9026          |
| 3.4776        | 0.03  | 1450080 | 3.9043          |
| 3.4675        | 1.03  | 1526400 | 3.9066          |
| 3.463         | 0.03  | 1602720 | 3.9080          |
| 3.4455        | 1.03  | 1679040 | 3.9105          |
| 3.4337        | 0.03  | 1755360 | 3.9127          |
| 3.4207        | 0.03  | 1831680 | 3.9144          |
| 3.4094        | 1.03  | 1908000 | 3.9159          |
| 3.4           | 0.03  | 1984320 | 3.9178          |
| 3.3854        | 1.03  | 2060640 | 3.9192          |
| 3.3739        | 0.03  | 2136960 | 3.9209          |
| 3.366         | 1.03  | 2213280 | 3.9216          |
| 3.3551        | 0.03  | 2289600 | 3.9244          |
| 3.3427        | 1.03  | 2365920 | 3.9252          |
| 3.3348        | 0.03  | 2442240 | 3.9254          |
| 3.3254        | 1.03  | 2518560 | 3.9270          |
| 3.3187        | 0.03  | 2594880 | 3.9282          |
| 3.3089        | 1.03  | 2671200 | 3.9282          |
| 3.3021        | 0.03  | 2747520 | 3.9279          |
| 3.2982        | 1.03  | 2823840 | 3.9286          |
| 3.2864        | 0.03  | 2900160 | 3.9283          |
| 3.279         | 1.03  | 2976480 | 3.9276          |
| 3.2717        | 0.02  | 3052726 | 3.9262          |


### Framework versions

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