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-0
  results: []
---

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# pp-mod-subj2-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: 3.9272

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.23          | 0.03  | 76320   | 4.2438          |
| 4.0263        | 1.03  | 152640  | 4.0737          |
| 3.9157        | 0.03  | 228960  | 4.0002          |
| 3.8485        | 1.03  | 305280  | 3.9594          |
| 3.8001        | 0.03  | 381600  | 3.9341          |
| 3.7527        | 1.03  | 457920  | 3.9196          |
| 3.7166        | 0.03  | 534240  | 3.9100          |
| 3.6843        | 1.03  | 610560  | 3.9041          |
| 3.6545        | 0.03  | 686880  | 3.8987          |
| 3.6331        | 0.03  | 763200  | 3.8965          |
| 3.6082        | 1.03  | 839520  | 3.8966          |
| 3.5866        | 0.03  | 915840  | 3.8960          |
| 3.5697        | 1.03  | 992160  | 3.8969          |
| 3.5533        | 0.03  | 1068480 | 3.8981          |
| 3.5345        | 1.03  | 1144800 | 3.8997          |
| 3.5217        | 0.03  | 1221120 | 3.9007          |
| 3.5078        | 1.03  | 1297440 | 3.9027          |
| 3.4974        | 0.03  | 1373760 | 3.9055          |
| 3.4829        | 0.03  | 1450080 | 3.9071          |
| 3.4733        | 1.03  | 1526400 | 3.9077          |
| 3.4673        | 0.03  | 1602720 | 3.9100          |
| 3.4523        | 1.03  | 1679040 | 3.9129          |
| 3.4403        | 0.03  | 1755360 | 3.9159          |
| 3.429         | 1.03  | 1831680 | 3.9174          |
| 3.414         | 0.03  | 1908000 | 3.9203          |
| 3.4064        | 1.03  | 1984320 | 3.9213          |
| 3.3913        | 0.03  | 2060640 | 3.9235          |
| 3.3795        | 0.03  | 2136960 | 3.9254          |
| 3.3707        | 1.03  | 2213280 | 3.9252          |
| 3.3603        | 0.03  | 2289600 | 3.9274          |
| 3.3471        | 1.03  | 2365920 | 3.9272          |
| 3.344         | 0.03  | 2442240 | 3.9295          |
| 3.3336        | 1.03  | 2518560 | 3.9303          |
| 3.3269        | 0.03  | 2594880 | 3.9306          |
| 3.315         | 1.03  | 2671200 | 3.9309          |
| 3.3104        | 0.03  | 2747520 | 3.9305          |
| 3.3066        | 1.03  | 2823840 | 3.9312          |
| 3.2963        | 0.03  | 2900160 | 3.9298          |
| 3.2876        | 0.03  | 2976480 | 3.9290          |
| 3.2804        | 1.02  | 3052726 | 3.9272          |


### Framework versions

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