---
tags:
- generated_from_trainer
model-index:
- name: rel-cl2-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. -->

# rel-cl2-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: 3.9820

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.8123        | 0.03  | 76320   | 4.7798          |
| 4.5274        | 1.03  | 152640  | 4.4945          |
| 4.3857        | 0.03  | 228960  | 4.3583          |
| 4.2964        | 1.03  | 305280  | 4.2751          |
| 4.2348        | 0.03  | 381600  | 4.2174          |
| 4.1869        | 1.03  | 457920  | 4.1758          |
| 4.1461        | 0.03  | 534240  | 4.1448          |
| 4.1147        | 1.03  | 610560  | 4.1197          |
| 4.0844        | 0.03  | 686880  | 4.0999          |
| 4.0589        | 1.03  | 763200  | 4.0835          |
| 4.0397        | 0.03  | 839520  | 4.0698          |
| 4.0201        | 1.03  | 915840  | 4.0580          |
| 4.002         | 0.03  | 992160  | 4.0486          |
| 3.9871        | 1.03  | 1068480 | 4.0411          |
| 3.9785        | 0.03  | 1144800 | 4.0342          |
| 3.9657        | 1.03  | 1221120 | 4.0282          |
| 3.9505        | 0.03  | 1297440 | 4.0227          |
| 3.9411        | 1.03  | 1373760 | 4.0180          |
| 3.9354        | 0.03  | 1450080 | 4.0133          |
| 3.927         | 1.03  | 1526400 | 4.0098          |
| 3.9227        | 0.03  | 1602720 | 4.0070          |
| 3.9201        | 0.03  | 1679040 | 4.0041          |
| 3.9119        | 1.03  | 1755360 | 4.0013          |
| 3.9052        | 0.03  | 1831680 | 3.9986          |
| 3.898         | 0.03  | 1908000 | 3.9967          |
| 3.8925        | 1.03  | 1984320 | 3.9946          |
| 3.8861        | 0.03  | 2060640 | 3.9932          |
| 3.8822        | 1.03  | 2136960 | 3.9917          |
| 3.8764        | 0.03  | 2213280 | 3.9898          |
| 3.8712        | 1.03  | 2289600 | 3.9878          |
| 3.8703        | 0.03  | 2365920 | 3.9872          |
| 3.8647        | 0.03  | 2442240 | 3.9861          |
| 3.859         | 1.03  | 2518560 | 3.9857          |
| 3.8551        | 0.03  | 2594880 | 3.9849          |
| 3.8554        | 1.03  | 2671200 | 3.9845          |
| 3.8535        | 0.03  | 2747520 | 3.9837          |
| 3.8554        | 1.03  | 2823840 | 3.9831          |
| 3.8568        | 0.03  | 2900160 | 3.9826          |
| 3.8537        | 1.03  | 2976480 | 3.9823          |
| 3.8532        | 2.02  | 3052726 | 3.9820          |


### Framework versions

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