transformers pytorch opt text-generation generated_from_trainer autotrain_compatible endpoints_compatible text-generation-inference region:us
---
tags:
- generated_from_trainer
model-index:
- name: re-irr-sv-agr-transformer-3
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# re-irr-sv-agr-transformer-3

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: 3.8879

## 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: 3
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2136        | 0.03  | 76320   | 4.2085          |
| 4.0097        | 0.03  | 152640  | 4.0416          |
| 3.9022        | 1.03  | 228960  | 3.9680          |
| 3.8365        | 0.03  | 305280  | 3.9277          |
| 3.7852        | 1.03  | 381600  | 3.9033          |
| 3.7453        | 0.03  | 457920  | 3.8884          |
| 3.7125        | 0.03  | 534240  | 3.8780          |
| 3.6804        | 1.03  | 610560  | 3.8712          |
| 3.6515        | 0.03  | 686880  | 3.8676          |
| 3.6286        | 1.03  | 763200  | 3.8659          |
| 3.6017        | 0.03  | 839520  | 3.8648          |
| 3.5874        | 1.03  | 915840  | 3.8655          |
| 3.5701        | 0.03  | 992160  | 3.8646          |
| 3.5504        | 1.03  | 1068480 | 3.8655          |
| 3.5327        | 0.03  | 1144800 | 3.8667          |
| 3.5158        | 0.03  | 1221120 | 3.8685          |
| 3.4975        | 1.03  | 1297440 | 3.8692          |
| 3.484         | 0.03  | 1373760 | 3.8711          |
| 3.4713        | 1.03  | 1450080 | 3.8721          |
| 3.4645        | 0.03  | 1526400 | 3.8742          |
| 3.4551        | 1.03  | 1602720 | 3.8754          |
| 3.4478        | 0.03  | 1679040 | 3.8768          |
| 3.4378        | 1.03  | 1755360 | 3.8791          |
| 3.4272        | 0.03  | 1831680 | 3.8814          |
| 3.4131        | 1.03  | 1908000 | 3.8817          |
| 3.4025        | 0.03  | 1984320 | 3.8825          |
| 3.3882        | 1.03  | 2060640 | 3.8843          |
| 3.3847        | 0.03  | 2136960 | 3.8852          |
| 3.3755        | 1.03  | 2213280 | 3.8870          |
| 3.3601        | 0.03  | 2289600 | 3.8887          |
| 3.3496        | 1.03  | 2365920 | 3.8886          |
| 3.3372        | 0.03  | 2442240 | 3.8893          |
| 3.325         | 1.03  | 2518560 | 3.8901          |
| 3.314         | 0.03  | 2594880 | 3.8912          |
| 3.3058        | 1.03  | 2671200 | 3.8906          |
| 3.3012        | 0.03  | 2747520 | 3.8909          |
| 3.2952        | 0.03  | 2823840 | 3.8904          |
| 3.2923        | 0.03  | 2900160 | 3.8897          |
| 3.287         | 1.03  | 2976480 | 3.8889          |
| 3.28          | 0.02  | 3052726 | 3.8879          |


### Framework versions

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