---
tags:
- generated_from_trainer
model-index:
- name: rel-cl-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-cl-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: 3.9834

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.8333        | 0.03  | 76319   | 4.7955          |
| 4.5414        | 1.03  | 152638  | 4.5069          |
| 4.3958        | 0.03  | 228957  | 4.3693          |
| 4.3064        | 1.03  | 305276  | 4.2841          |
| 4.2412        | 0.03  | 381595  | 4.2253          |
| 4.1888        | 1.03  | 457914  | 4.1822          |
| 4.1518        | 0.03  | 534233  | 4.1503          |
| 4.1231        | 1.03  | 610552  | 4.1251          |
| 4.0901        | 0.03  | 686871  | 4.1043          |
| 4.0684        | 1.03  | 763190  | 4.0883          |
| 4.0494        | 0.03  | 839509  | 4.0748          |
| 4.0311        | 1.03  | 915828  | 4.0629          |
| 4.0094        | 0.03  | 992147  | 4.0531          |
| 3.9984        | 1.03  | 1068466 | 4.0447          |
| 3.9843        | 0.03  | 1144785 | 4.0374          |
| 3.9745        | 1.03  | 1221104 | 4.0315          |
| 3.9639        | 0.03  | 1297424 | 4.0246          |
| 3.9518        | 1.03  | 1373744 | 4.0196          |
| 3.9425        | 0.03  | 1450064 | 4.0152          |
| 3.9366        | 1.03  | 1526384 | 4.0120          |
| 3.9314        | 0.03  | 1602704 | 4.0092          |
| 3.9281        | 1.03  | 1679024 | 4.0062          |
| 3.9248        | 0.03  | 1755344 | 4.0037          |
| 3.9168        | 1.03  | 1831664 | 4.0010          |
| 3.9081        | 0.03  | 1907984 | 3.9989          |
| 3.9019        | 1.03  | 1984304 | 3.9969          |
| 3.8948        | 0.03  | 2060624 | 3.9948          |
| 3.891         | 1.03  | 2136944 | 3.9935          |
| 3.8871        | 0.03  | 2213264 | 3.9923          |
| 3.8802        | 1.03  | 2289584 | 3.9913          |
| 3.8797        | 0.03  | 2365904 | 3.9902          |
| 3.8769        | 1.03  | 2442224 | 3.9892          |
| 3.8733        | 0.03  | 2518544 | 3.9886          |
| 3.8671        | 1.03  | 2594864 | 3.9875          |
| 3.8637        | 0.03  | 2671184 | 3.9867          |
| 3.8642        | 1.03  | 2747504 | 3.9858          |
| 3.8642        | 0.03  | 2823824 | 3.9848          |
| 3.8653        | 1.03  | 2900144 | 3.9842          |
| 3.8671        | 0.03  | 2976464 | 3.9836          |
| 3.8639        | 0.02  | 3052726 | 3.9834          |


### Framework versions

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