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-1
  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-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: 3.8917

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2191        | 0.03  | 76320   | 4.2133          |
| 4.0124        | 1.03  | 152640  | 4.0446          |
| 3.9042        | 0.03  | 228960  | 3.9689          |
| 3.8378        | 1.03  | 305280  | 3.9282          |
| 3.7862        | 0.03  | 381600  | 3.9036          |
| 3.7465        | 1.03  | 457920  | 3.8875          |
| 3.7125        | 0.03  | 534240  | 3.8780          |
| 3.6811        | 1.03  | 610560  | 3.8712          |
| 3.6533        | 0.03  | 686880  | 3.8683          |
| 3.6278        | 1.03  | 763200  | 3.8661          |
| 3.604         | 0.03  | 839520  | 3.8653          |
| 3.5878        | 1.03  | 915840  | 3.8643          |
| 3.5705        | 0.03  | 992160  | 3.8659          |
| 3.5519        | 0.03  | 1068480 | 3.8674          |
| 3.5332        | 0.03  | 1144800 | 3.8693          |
| 3.516         | 1.03  | 1221120 | 3.8696          |
| 3.498         | 0.03  | 1297440 | 3.8707          |
| 3.4839        | 1.03  | 1373760 | 3.8720          |
| 3.4693        | 0.03  | 1450080 | 3.8750          |
| 3.4632        | 1.03  | 1526400 | 3.8761          |
| 3.4533        | 0.03  | 1602720 | 3.8784          |
| 3.4476        | 1.03  | 1679040 | 3.8794          |
| 3.4382        | 0.03  | 1755360 | 3.8807          |
| 3.4264        | 1.03  | 1831680 | 3.8814          |
| 3.4151        | 0.03  | 1908000 | 3.8848          |
| 3.4026        | 1.03  | 1984320 | 3.8861          |
| 3.3883        | 0.03  | 2060640 | 3.8874          |
| 3.3828        | 1.03  | 2136960 | 3.8885          |
| 3.376         | 0.03  | 2213280 | 3.8899          |
| 3.3616        | 1.03  | 2289600 | 3.8903          |
| 3.3522        | 0.03  | 2365920 | 3.8921          |
| 3.3376        | 0.03  | 2442240 | 3.8915          |
| 3.3228        | 0.03  | 2518560 | 3.8923          |
| 3.3132        | 1.03  | 2594880 | 3.8935          |
| 3.3038        | 0.03  | 2671200 | 3.8945          |
| 3.2999        | 0.03  | 2747520 | 3.8946          |
| 3.2939        | 0.03  | 2823840 | 3.8947          |
| 3.2922        | 1.03  | 2900160 | 3.8938          |
| 3.2867        | 0.03  | 2976480 | 3.8927          |
| 3.2797        | 1.02  | 3052726 | 3.8917          |


### Framework versions

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