---
tags:
- generated_from_trainer
model-index:
- name: rel-cl2-lstm-3
  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-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: 3.9812

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.8054        | 0.03  | 76320   | 4.7703          |
| 4.5214        | 1.03  | 152640  | 4.4883          |
| 4.3827        | 0.03  | 228960  | 4.3543          |
| 4.2926        | 1.03  | 305280  | 4.2707          |
| 4.2323        | 0.03  | 381600  | 4.2143          |
| 4.1855        | 1.03  | 457920  | 4.1734          |
| 4.1449        | 0.03  | 534240  | 4.1420          |
| 4.1118        | 0.03  | 610560  | 4.1175          |
| 4.0834        | 1.03  | 686880  | 4.0976          |
| 4.06          | 0.03  | 763200  | 4.0817          |
| 4.0383        | 1.03  | 839520  | 4.0689          |
| 4.0217        | 0.03  | 915840  | 4.0581          |
| 4.0046        | 1.03  | 992160  | 4.0483          |
| 3.9881        | 0.03  | 1068480 | 4.0400          |
| 3.9791        | 1.03  | 1144800 | 4.0334          |
| 3.9628        | 0.03  | 1221120 | 4.0276          |
| 3.9508        | 1.03  | 1297440 | 4.0224          |
| 3.9439        | 0.03  | 1373760 | 4.0180          |
| 3.9351        | 0.03  | 1450080 | 4.0142          |
| 3.9291        | 1.03  | 1526400 | 4.0104          |
| 3.9253        | 2.03  | 1602720 | 4.0073          |
| 3.9226        | 0.03  | 1679040 | 4.0045          |
| 3.9127        | 0.03  | 1755360 | 4.0015          |
| 3.9077        | 1.03  | 1831680 | 3.9987          |
| 3.8983        | 0.03  | 1908000 | 3.9967          |
| 3.893         | 0.03  | 1984320 | 3.9944          |
| 3.8886        | 1.03  | 2060640 | 3.9931          |
| 3.8846        | 0.03  | 2136960 | 3.9916          |
| 3.8799        | 0.03  | 2213280 | 3.9905          |
| 3.8724        | 1.03  | 2289600 | 3.9890          |
| 3.8715        | 0.03  | 2365920 | 3.9880          |
| 3.8656        | 0.03  | 2442240 | 3.9867          |
| 3.8601        | 1.03  | 2518560 | 3.9855          |
| 3.8572        | 0.03  | 2594880 | 3.9846          |
| 3.8562        | 1.03  | 2671200 | 3.9837          |
| 3.8552        | 0.03  | 2747520 | 3.9831          |
| 3.8573        | 1.03  | 2823840 | 3.9824          |
| 3.8556        | 0.03  | 2900160 | 3.9819          |
| 3.8545        | 1.03  | 2976480 | 3.9815          |
| 3.8545        | 0.02  | 3052726 | 3.9812          |


### Framework versions

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