---
tags:
- generated_from_trainer
model-index:
- name: re-irr-sv-agr-lstm-1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# re-irr-sv-agr-lstm-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: 3.9886

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7815        | 0.03  | 76320   | 4.7702          |
| 4.4981        | 1.03  | 152640  | 4.4915          |
| 4.3568        | 0.03  | 228960  | 4.3572          |
| 4.2708        | 1.03  | 305280  | 4.2738          |
| 4.2093        | 0.03  | 381600  | 4.2181          |
| 4.1624        | 0.03  | 457920  | 4.1769          |
| 4.1251        | 1.03  | 534240  | 4.1461          |
| 4.091         | 2.03  | 610560  | 4.1220          |
| 4.0637        | 0.03  | 686880  | 4.1029          |
| 4.04          | 1.03  | 763200  | 4.0868          |
| 4.0174        | 0.03  | 839520  | 4.0741          |
| 4.0037        | 1.03  | 915840  | 4.0630          |
| 3.9901        | 0.03  | 992160  | 4.0538          |
| 3.9695        | 0.03  | 1068480 | 4.0454          |
| 3.9562        | 1.03  | 1144800 | 4.0385          |
| 3.9406        | 0.03  | 1221120 | 4.0326          |
| 3.927         | 1.03  | 1297440 | 4.0275          |
| 3.9166        | 0.03  | 1373760 | 4.0226          |
| 3.9069        | 1.03  | 1450080 | 4.0190          |
| 3.9057        | 2.03  | 1526400 | 4.0156          |
| 3.9015        | 0.03  | 1602720 | 4.0130          |
| 3.8975        | 1.03  | 1679040 | 4.0097          |
| 3.8935        | 2.03  | 1755360 | 4.0071          |
| 3.8858        | 0.03  | 1831680 | 4.0051          |
| 3.8802        | 1.03  | 1908000 | 4.0033          |
| 3.8737        | 2.03  | 1984320 | 4.0017          |
| 3.8668        | 0.03  | 2060640 | 4.0003          |
| 3.8664        | 1.03  | 2136960 | 3.9989          |
| 3.8646        | 0.03  | 2213280 | 3.9974          |
| 3.8568        | 1.03  | 2289600 | 3.9957          |
| 3.8493        | 0.03  | 2365920 | 3.9950          |
| 3.8429        | 1.03  | 2442240 | 3.9941          |
| 3.8357        | 0.03  | 2518560 | 3.9930          |
| 3.8299        | 1.03  | 2594880 | 3.9920          |
| 3.8288        | 2.03  | 2671200 | 3.9912          |
| 3.8308        | 0.03  | 2747520 | 3.9904          |
| 3.8331        | 1.03  | 2823840 | 3.9899          |
| 3.8355        | 0.03  | 2900160 | 3.9894          |
| 3.8364        | 0.03  | 2976480 | 3.9891          |
| 3.8311        | 0.02  | 3052726 | 3.9886          |


### Framework versions

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