transformers pytorch rnn generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: re-irr-sv-agr-lstm-0
  results: []
---

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# re-irr-sv-agr-lstm-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: 3.9871

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.774         | 0.03  | 76320   | 4.7628          |
| 4.4898        | 1.03  | 152640  | 4.4830          |
| 4.3488        | 0.03  | 228960  | 4.3492          |
| 4.2646        | 1.03  | 305280  | 4.2676          |
| 4.1995        | 0.03  | 381600  | 4.2116          |
| 4.1574        | 1.03  | 457920  | 4.1707          |
| 4.1193        | 0.03  | 534240  | 4.1409          |
| 4.0851        | 0.03  | 610560  | 4.1171          |
| 4.0581        | 1.03  | 686880  | 4.0982          |
| 4.0332        | 0.03  | 763200  | 4.0820          |
| 4.0122        | 1.03  | 839520  | 4.0701          |
| 4.0007        | 0.03  | 915840  | 4.0597          |
| 3.986         | 1.03  | 992160  | 4.0507          |
| 3.9678        | 0.03  | 1068480 | 4.0432          |
| 3.9529        | 1.03  | 1144800 | 4.0362          |
| 3.9348        | 0.03  | 1221120 | 4.0301          |
| 3.922         | 0.03  | 1297440 | 4.0256          |
| 3.9113        | 1.03  | 1373760 | 4.0213          |
| 3.9021        | 0.03  | 1450080 | 4.0174          |
| 3.8989        | 1.03  | 1526400 | 4.0139          |
| 3.8936        | 0.03  | 1602720 | 4.0110          |
| 3.8923        | 1.03  | 1679040 | 4.0083          |
| 3.8889        | 0.03  | 1755360 | 4.0060          |
| 3.8785        | 1.03  | 1831680 | 4.0036          |
| 3.8726        | 0.03  | 1908000 | 4.0011          |
| 3.8671        | 0.03  | 1984320 | 3.9992          |
| 3.8603        | 1.03  | 2060640 | 3.9976          |
| 3.8618        | 0.03  | 2136960 | 3.9963          |
| 3.8576        | 1.03  | 2213280 | 3.9950          |
| 3.8495        | 0.03  | 2289600 | 3.9942          |
| 3.846         | 1.03  | 2365920 | 3.9930          |
| 3.8371        | 2.03  | 2442240 | 3.9918          |
| 3.8292        | 0.03  | 2518560 | 3.9914          |
| 3.8253        | 1.03  | 2594880 | 3.9905          |
| 3.8211        | 0.03  | 2671200 | 3.9897          |
| 3.823         | 1.03  | 2747520 | 3.9888          |
| 3.8256        | 0.03  | 2823840 | 3.9882          |
| 3.8285        | 1.03  | 2900160 | 3.9876          |
| 3.8292        | 0.03  | 2976480 | 3.9874          |
| 3.8239        | 1.02  | 3052726 | 3.9871          |


### Framework versions

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