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-0
  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-0

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: 3.8874

## 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: 0
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.22          | 0.03  | 76320   | 4.2138          |
| 4.0124        | 0.03  | 152640  | 4.0448          |
| 3.9058        | 1.03  | 228960  | 3.9711          |
| 3.8391        | 0.03  | 305280  | 3.9298          |
| 3.7877        | 1.03  | 381600  | 3.9048          |
| 3.75          | 0.03  | 457920  | 3.8886          |
| 3.7162        | 1.03  | 534240  | 3.8795          |
| 3.6837        | 0.03  | 610560  | 3.8729          |
| 3.6573        | 0.03  | 686880  | 3.8684          |
| 3.6311        | 1.03  | 763200  | 3.8672          |
| 3.6065        | 0.03  | 839520  | 3.8658          |
| 3.5903        | 1.03  | 915840  | 3.8655          |
| 3.5747        | 0.03  | 992160  | 3.8658          |
| 3.5512        | 1.03  | 1068480 | 3.8644          |
| 3.5356        | 0.03  | 1144800 | 3.8661          |
| 3.5193        | 1.03  | 1221120 | 3.8685          |
| 3.5024        | 0.03  | 1297440 | 3.8704          |
| 3.488         | 1.03  | 1373760 | 3.8711          |
| 3.4745        | 0.03  | 1450080 | 3.8732          |
| 3.4671        | 1.03  | 1526400 | 3.8741          |
| 3.4592        | 0.03  | 1602720 | 3.8757          |
| 3.452         | 1.03  | 1679040 | 3.8771          |
| 3.4421        | 0.03  | 1755360 | 3.8793          |
| 3.4296        | 0.03  | 1831680 | 3.8797          |
| 3.4182        | 1.03  | 1908000 | 3.8814          |
| 3.4077        | 0.03  | 1984320 | 3.8829          |
| 3.3916        | 1.03  | 2060640 | 3.8830          |
| 3.3854        | 0.03  | 2136960 | 3.8856          |
| 3.3789        | 1.03  | 2213280 | 3.8868          |
| 3.3629        | 0.03  | 2289600 | 3.8880          |
| 3.3536        | 0.03  | 2365920 | 3.8877          |
| 3.3432        | 0.03  | 2442240 | 3.8891          |
| 3.3292        | 0.03  | 2518560 | 3.8895          |
| 3.3206        | 0.03  | 2594880 | 3.8898          |
| 3.3113        | 1.03  | 2671200 | 3.8905          |
| 3.3074        | 0.03  | 2747520 | 3.8906          |
| 3.3031        | 1.03  | 2823840 | 3.8903          |
| 3.2996        | 0.03  | 2900160 | 3.8898          |
| 3.2916        | 1.03  | 2976480 | 3.8893          |
| 3.2837        | 0.02  | 3052726 | 3.8874          |


### Framework versions

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