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-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. -->

# pp-mod-subj2-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: 3.9223

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2283        | 0.03  | 76320   | 4.2421          |
| 4.0271        | 1.03  | 152640  | 4.0738          |
| 3.9174        | 0.03  | 228960  | 3.9986          |
| 3.8489        | 1.03  | 305280  | 3.9597          |
| 3.7995        | 0.03  | 381600  | 3.9343          |
| 3.7523        | 1.03  | 457920  | 3.9182          |
| 3.7141        | 0.03  | 534240  | 3.9086          |
| 3.6827        | 1.03  | 610560  | 3.9013          |
| 3.6528        | 0.03  | 686880  | 3.8980          |
| 3.631         | 1.03  | 763200  | 3.8950          |
| 3.6044        | 0.03  | 839520  | 3.8937          |
| 3.585         | 1.03  | 915840  | 3.8944          |
| 3.5657        | 0.03  | 992160  | 3.8947          |
| 3.5512        | 1.03  | 1068480 | 3.8962          |
| 3.5323        | 0.03  | 1144800 | 3.8979          |
| 3.5208        | 1.03  | 1221120 | 3.8985          |
| 3.5069        | 0.03  | 1297440 | 3.9003          |
| 3.4961        | 1.03  | 1373760 | 3.9020          |
| 3.4837        | 0.03  | 1450080 | 3.9046          |
| 3.4734        | 1.03  | 1526400 | 3.9057          |
| 3.467         | 0.03  | 1602720 | 3.9072          |
| 3.4521        | 0.03  | 1679040 | 3.9103          |
| 3.4393        | 0.03  | 1755360 | 3.9114          |
| 3.4263        | 1.03  | 1831680 | 3.9125          |
| 3.4128        | 0.03  | 1908000 | 3.9144          |
| 3.4044        | 1.03  | 1984320 | 3.9173          |
| 3.3896        | 0.03  | 2060640 | 3.9184          |
| 3.3783        | 1.03  | 2136960 | 3.9205          |
| 3.3693        | 0.03  | 2213280 | 3.9207          |
| 3.3573        | 1.03  | 2289600 | 3.9216          |
| 3.3449        | 0.03  | 2365920 | 3.9224          |
| 3.3398        | 1.03  | 2442240 | 3.9248          |
| 3.3304        | 0.03  | 2518560 | 3.9255          |
| 3.3236        | 0.03  | 2594880 | 3.9254          |
| 3.3142        | 1.03  | 2671200 | 3.9252          |
| 3.3084        | 0.03  | 2747520 | 3.9259          |
| 3.3044        | 0.03  | 2823840 | 3.9250          |
| 3.2939        | 1.03  | 2900160 | 3.9242          |
| 3.2868        | 0.03  | 2976480 | 3.9232          |
| 3.2769        | 0.02  | 3052726 | 3.9223          |


### Framework versions

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