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-subj-transformer-2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# pp-mod-subj-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: 3.9189

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2295        | 0.03  | 76319   | 4.2460          |
| 4.0231        | 0.03  | 152638  | 4.0758          |
| 3.9178        | 0.03  | 228957  | 4.0001          |
| 3.8454        | 0.03  | 305276  | 3.9592          |
| 3.7934        | 0.03  | 381595  | 3.9336          |
| 3.7503        | 0.03  | 457914  | 3.9190          |
| 3.7152        | 0.03  | 534233  | 3.9088          |
| 3.6863        | 0.03  | 610552  | 3.9023          |
| 3.6576        | 0.03  | 686871  | 3.8977          |
| 3.6331        | 1.03  | 763190  | 3.8957          |
| 3.6109        | 0.03  | 839510  | 3.8893          |
| 3.5889        | 1.03  | 915830  | 3.8901          |
| 3.571         | 0.03  | 992150  | 3.8901          |
| 3.5544        | 1.03  | 1068470 | 3.8913          |
| 3.5353        | 0.03  | 1144790 | 3.8925          |
| 3.5236        | 1.03  | 1221110 | 3.8951          |
| 3.5072        | 0.03  | 1297430 | 3.8966          |
| 3.4951        | 1.03  | 1373750 | 3.8979          |
| 3.4837        | 0.03  | 1450070 | 3.8999          |
| 3.4736        | 0.03  | 1526390 | 3.9007          |
| 3.4667        | 1.03  | 1602710 | 3.9031          |
| 3.4513        | 0.03  | 1679030 | 3.9036          |
| 3.4392        | 0.03  | 1755350 | 3.9068          |
| 3.4296        | 1.03  | 1831670 | 3.9090          |
| 3.4146        | 0.03  | 1907990 | 3.9102          |
| 3.4042        | 0.03  | 1984310 | 3.9112          |
| 3.3929        | 1.03  | 2060630 | 3.9125          |
| 3.3825        | 0.03  | 2136950 | 3.9158          |
| 3.3718        | 1.03  | 2213270 | 3.9160          |
| 3.3648        | 0.03  | 2289590 | 3.9177          |
| 3.3522        | 0.03  | 2365910 | 3.9185          |
| 3.3433        | 1.03  | 2442230 | 3.9193          |
| 3.3302        | 0.03  | 2518550 | 3.9203          |
| 3.3225        | 0.03  | 2594870 | 3.9205          |
| 3.3142        | 1.03  | 2671190 | 3.9214          |
| 3.3087        | 0.03  | 2747510 | 3.9222          |
| 3.3031        | 0.03  | 2823830 | 3.9223          |
| 3.2928        | 0.03  | 2900150 | 3.9217          |
| 3.2847        | 1.03  | 2976470 | 3.9198          |
| 3.2821        | 0.02  | 3052726 | 3.9189          |


### Framework versions

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