transformers pytorch rnn generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: rel-cl-lstm-1
  results: []
---

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# rel-cl-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: 3.9795

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.8102        | 0.03  | 76319   | 4.7706          |
| 4.5218        | 0.03  | 152638  | 4.4884          |
| 4.3799        | 1.03  | 228957  | 4.3542          |
| 4.2923        | 0.03  | 305276  | 4.2707          |
| 4.2284        | 1.03  | 381595  | 4.2133          |
| 4.1771        | 0.03  | 457914  | 4.1727          |
| 4.1395        | 1.03  | 534233  | 4.1414          |
| 4.1119        | 0.03  | 610552  | 4.1165          |
| 4.0787        | 1.03  | 686871  | 4.0975          |
| 4.0592        | 0.03  | 763190  | 4.0814          |
| 4.0379        | 1.03  | 839509  | 4.0676          |
| 4.0211        | 0.03  | 915828  | 4.0562          |
| 4.0007        | 1.03  | 992147  | 4.0479          |
| 3.9787        | 0.03  | 1068467 | 4.0382          |
| 3.9644        | 1.03  | 1144787 | 4.0305          |
| 3.9696        | 0.03  | 1221107 | 4.0242          |
| 3.9515        | 1.03  | 1297427 | 4.0186          |
| 3.9419        | 0.03  | 1373747 | 4.0144          |
| 3.9319        | 1.03  | 1450067 | 4.0105          |
| 3.9296        | 0.03  | 1526387 | 4.0071          |
| 3.9249        | 1.03  | 1602707 | 4.0044          |
| 3.9193        | 0.03  | 1679027 | 4.0014          |
| 3.9168        | 1.03  | 1755347 | 3.9991          |
| 3.9074        | 0.03  | 1831667 | 3.9962          |
| 3.898         | 1.03  | 1907987 | 3.9941          |
| 3.8886        | 0.03  | 1984307 | 3.9919          |
| 3.8847        | 1.03  | 2060627 | 3.9900          |
| 3.8811        | 0.03  | 2136947 | 3.9883          |
| 3.8767        | 1.03  | 2213267 | 3.9873          |
| 3.8694        | 0.03  | 2289587 | 3.9861          |
| 3.8694        | 1.03  | 2365907 | 3.9850          |
| 3.8694        | 0.03  | 2442227 | 3.9840          |
| 3.8629        | 1.03  | 2518547 | 3.9831          |
| 3.8586        | 0.03  | 2594867 | 3.9823          |
| 3.8527        | 1.03  | 2671187 | 3.9817          |
| 3.8568        | 0.03  | 2747507 | 3.9812          |
| 3.855         | 0.03  | 2823827 | 3.9806          |
| 3.8566        | 1.03  | 2900147 | 3.9801          |
| 3.8583        | 0.03  | 2976467 | 3.9799          |
| 3.8537        | 1.02  | 3052726 | 3.9795          |


### Framework versions

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