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-4
  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-4

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: 3.8889

## 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: 4
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2133        | 0.03  | 76320   | 4.2076          |
| 4.0078        | 1.03  | 152640  | 4.0406          |
| 3.9019        | 0.03  | 228960  | 3.9673          |
| 3.8342        | 1.03  | 305280  | 3.9273          |
| 3.7842        | 0.03  | 381600  | 3.9023          |
| 3.7453        | 1.03  | 457920  | 3.8877          |
| 3.7122        | 0.03  | 534240  | 3.8773          |
| 3.6801        | 0.03  | 610560  | 3.8725          |
| 3.6523        | 1.03  | 686880  | 3.8682          |
| 3.6281        | 0.03  | 763200  | 3.8650          |
| 3.6022        | 1.03  | 839520  | 3.8651          |
| 3.5871        | 0.03  | 915840  | 3.8637          |
| 3.5709        | 1.03  | 992160  | 3.8647          |
| 3.5497        | 0.03  | 1068480 | 3.8658          |
| 3.5332        | 0.03  | 1144800 | 3.8667          |
| 3.5166        | 1.03  | 1221120 | 3.8687          |
| 3.4988        | 0.03  | 1297440 | 3.8686          |
| 3.484         | 1.03  | 1373760 | 3.8692          |
| 3.4711        | 0.03  | 1450080 | 3.8724          |
| 3.463         | 1.03  | 1526400 | 3.8742          |
| 3.4548        | 0.03  | 1602720 | 3.8753          |
| 3.4478        | 1.03  | 1679040 | 3.8769          |
| 3.4397        | 0.03  | 1755360 | 3.8786          |
| 3.4264        | 1.03  | 1831680 | 3.8802          |
| 3.4143        | 0.03  | 1908000 | 3.8824          |
| 3.4034        | 1.03  | 1984320 | 3.8831          |
| 3.3907        | 0.03  | 2060640 | 3.8834          |
| 3.3843        | 1.03  | 2136960 | 3.8860          |
| 3.3732        | 0.03  | 2213280 | 3.8868          |
| 3.3616        | 0.03  | 2289600 | 3.8872          |
| 3.3499        | 1.03  | 2365920 | 3.8889          |
| 3.3388        | 0.03  | 2442240 | 3.8892          |
| 3.3263        | 1.03  | 2518560 | 3.8893          |
| 3.316         | 0.03  | 2594880 | 3.8906          |
| 3.3078        | 1.03  | 2671200 | 3.8908          |
| 3.3029        | 0.03  | 2747520 | 3.8910          |
| 3.2953        | 1.03  | 2823840 | 3.8906          |
| 3.2926        | 0.03  | 2900160 | 3.8910          |
| 3.2871        | 1.03  | 2976480 | 3.8899          |
| 3.2795        | 0.02  | 3052726 | 3.8889          |


### Framework versions

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