transformers pytorch rnn generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: re-irr-sv-agr-lstm-3
  results: []
---

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# re-irr-sv-agr-lstm-3

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: 3.9915

## 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: 3
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7907        | 0.03  | 76320   | 4.7798          |
| 4.5038        | 1.03  | 152640  | 4.4972          |
| 4.363         | 2.03  | 228960  | 4.3638          |
| 4.2777        | 0.03  | 305280  | 4.2803          |
| 4.2145        | 1.03  | 381600  | 4.2236          |
| 4.1703        | 2.03  | 457920  | 4.1822          |
| 4.133         | 0.03  | 534240  | 4.1512          |
| 4.0977        | 1.03  | 610560  | 4.1264          |
| 4.0708        | 2.03  | 686880  | 4.1068          |
| 4.0454        | 0.03  | 763200  | 4.0905          |
| 4.0224        | 1.03  | 839520  | 4.0775          |
| 4.01          | 0.03  | 915840  | 4.0666          |
| 3.996         | 1.03  | 992160  | 4.0564          |
| 3.9765        | 0.03  | 1068480 | 4.0495          |
| 3.9628        | 1.03  | 1144800 | 4.0427          |
| 3.946         | 0.03  | 1221120 | 4.0360          |
| 3.9308        | 0.03  | 1297440 | 4.0311          |
| 3.9241        | 1.03  | 1373760 | 4.0266          |
| 3.9126        | 2.03  | 1450080 | 4.0231          |
| 3.9133        | 0.03  | 1526400 | 4.0196          |
| 3.9074        | 1.03  | 1602720 | 4.0172          |
| 3.9082        | 0.03  | 1679040 | 4.0140          |
| 3.9023        | 1.03  | 1755360 | 4.0115          |
| 3.8936        | 0.03  | 1831680 | 4.0096          |
| 3.886         | 1.03  | 1908000 | 4.0071          |
| 3.8806        | 0.03  | 1984320 | 4.0050          |
| 3.8726        | 1.03  | 2060640 | 4.0030          |
| 3.8738        | 2.03  | 2136960 | 4.0020          |
| 3.8718        | 0.03  | 2213280 | 4.0006          |
| 3.8638        | 1.03  | 2289600 | 3.9990          |
| 3.8573        | 2.03  | 2365920 | 3.9973          |
| 3.8484        | 0.03  | 2442240 | 3.9964          |
| 3.8425        | 1.03  | 2518560 | 3.9954          |
| 3.8384        | 0.03  | 2594880 | 3.9946          |
| 3.8355        | 1.03  | 2671200 | 3.9941          |
| 3.8391        | 2.03  | 2747520 | 3.9933          |
| 3.8404        | 0.03  | 2823840 | 3.9928          |
| 3.8431        | 1.03  | 2900160 | 3.9923          |
| 3.843         | 0.03  | 2976480 | 3.9919          |
| 3.8394        | 1.02  | 3052726 | 3.9915          |


### Framework versions

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