transformers pytorch rnn generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: re-irr-sv-agr-lstm-2
  results: []
---

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# re-irr-sv-agr-lstm-2

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: 3.9891

## 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: 2
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7913        | 0.03  | 76320   | 4.7806          |
| 4.504         | 1.03  | 152640  | 4.4977          |
| 4.3624        | 2.03  | 228960  | 4.3626          |
| 4.2755        | 0.03  | 305280  | 4.2788          |
| 4.2123        | 1.03  | 381600  | 4.2215          |
| 4.1669        | 0.03  | 457920  | 4.1800          |
| 4.1297        | 1.03  | 534240  | 4.1490          |
| 4.093         | 0.03  | 610560  | 4.1240          |
| 4.0664        | 0.03  | 686880  | 4.1048          |
| 4.0437        | 1.03  | 763200  | 4.0895          |
| 4.0205        | 2.03  | 839520  | 4.0752          |
| 4.0071        | 0.03  | 915840  | 4.0649          |
| 3.993         | 1.03  | 992160  | 4.0546          |
| 3.9751        | 0.03  | 1068480 | 4.0470          |
| 3.9596        | 1.03  | 1144800 | 4.0400          |
| 3.9436        | 0.03  | 1221120 | 4.0353          |
| 3.9289        | 0.03  | 1297440 | 4.0297          |
| 3.9188        | 0.03  | 1373760 | 4.0243          |
| 3.91          | 1.03  | 1450080 | 4.0209          |
| 3.9084        | 0.03  | 1526400 | 4.0170          |
| 3.9049        | 1.03  | 1602720 | 4.0137          |
| 3.9022        | 2.03  | 1679040 | 4.0111          |
| 3.8974        | 0.03  | 1755360 | 4.0089          |
| 3.8887        | 1.03  | 1831680 | 4.0065          |
| 3.8836        | 2.03  | 1908000 | 4.0044          |
| 3.8786        | 0.03  | 1984320 | 4.0022          |
| 3.8708        | 1.03  | 2060640 | 4.0006          |
| 3.8708        | 0.03  | 2136960 | 3.9994          |
| 3.8682        | 1.03  | 2213280 | 3.9980          |
| 3.86          | 0.03  | 2289600 | 3.9970          |
| 3.855         | 1.03  | 2365920 | 3.9957          |
| 3.8443        | 0.03  | 2442240 | 3.9946          |
| 3.8383        | 1.03  | 2518560 | 3.9934          |
| 3.8349        | 2.03  | 2594880 | 3.9924          |
| 3.8312        | 0.03  | 2671200 | 3.9916          |
| 3.8356        | 1.03  | 2747520 | 3.9910          |
| 3.836         | 0.03  | 2823840 | 3.9904          |
| 3.8403        | 1.03  | 2900160 | 3.9899          |
| 3.8385        | 0.03  | 2976480 | 3.9895          |
| 3.8368        | 1.02  | 3052726 | 3.9891          |


### Framework versions

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