---
tags:
- generated_from_trainer
model-index:
- name: rel-cl2-lstm-4
  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-4

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: 3.9791

## 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: 4
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.8127        | 0.03  | 76320   | 4.7766          |
| 4.522         | 1.03  | 152640  | 4.4899          |
| 4.3812        | 0.03  | 228960  | 4.3533          |
| 4.2903        | 1.03  | 305280  | 4.2686          |
| 4.2294        | 0.03  | 381600  | 4.2113          |
| 4.1806        | 1.03  | 457920  | 4.1694          |
| 4.1393        | 0.03  | 534240  | 4.1382          |
| 4.1073        | 1.03  | 610560  | 4.1141          |
| 4.0771        | 0.03  | 686880  | 4.0934          |
| 4.0523        | 1.03  | 763200  | 4.0774          |
| 4.0323        | 0.03  | 839520  | 4.0638          |
| 4.0151        | 1.03  | 915840  | 4.0536          |
| 3.9965        | 0.03  | 992160  | 4.0444          |
| 3.9819        | 1.03  | 1068480 | 4.0361          |
| 3.9725        | 0.03  | 1144800 | 4.0289          |
| 3.9584        | 1.03  | 1221120 | 4.0227          |
| 3.9459        | 0.03  | 1297440 | 4.0175          |
| 3.9353        | 1.03  | 1373760 | 4.0132          |
| 3.931         | 0.03  | 1450080 | 4.0095          |
| 3.9245        | 1.03  | 1526400 | 4.0062          |
| 3.9211        | 0.03  | 1602720 | 4.0030          |
| 3.9169        | 1.03  | 1679040 | 4.0008          |
| 3.9098        | 0.03  | 1755360 | 3.9978          |
| 3.9016        | 1.03  | 1831680 | 3.9956          |
| 3.8961        | 0.03  | 1908000 | 3.9935          |
| 3.8877        | 1.03  | 1984320 | 3.9921          |
| 3.8819        | 0.03  | 2060640 | 3.9904          |
| 3.8791        | 0.03  | 2136960 | 3.9887          |
| 3.8725        | 1.03  | 2213280 | 3.9875          |
| 3.8674        | 0.03  | 2289600 | 3.9857          |
| 3.8651        | 0.03  | 2365920 | 3.9848          |
| 3.8611        | 1.03  | 2442240 | 3.9841          |
| 3.8565        | 0.03  | 2518560 | 3.9834          |
| 3.8527        | 1.03  | 2594880 | 3.9825          |
| 3.8532        | 0.03  | 2671200 | 3.9817          |
| 3.8515        | 1.03  | 2747520 | 3.9812          |
| 3.8542        | 0.03  | 2823840 | 3.9804          |
| 3.8536        | 1.03  | 2900160 | 3.9801          |
| 3.8506        | 0.03  | 2976480 | 3.9795          |
| 3.8498        | 1.02  | 3052726 | 3.9791          |


### Framework versions

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