transformers pytorch rnn generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: rel-cl-lstm-0
  results: []
---

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# rel-cl-lstm-0

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: 3.9774

## 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: 0
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.8082        | 0.03  | 76319   | 4.7686          |
| 4.5186        | 1.03  | 152638  | 4.4836          |
| 4.3751        | 0.03  | 228957  | 4.3481          |
| 4.2868        | 1.03  | 305276  | 4.2655          |
| 4.2227        | 0.03  | 381595  | 4.2085          |
| 4.1713        | 0.03  | 457914  | 4.1671          |
| 4.1342        | 0.03  | 534233  | 4.1361          |
| 4.1036        | 0.03  | 610552  | 4.1114          |
| 4.0715        | 1.03  | 686871  | 4.0915          |
| 4.0524        | 0.03  | 763190  | 4.0756          |
| 4.0316        | 1.03  | 839509  | 4.0636          |
| 4.0127        | 0.03  | 915828  | 4.0522          |
| 3.9912        | 0.03  | 992147  | 4.0424          |
| 3.9787        | 1.03  | 1068466 | 4.0349          |
| 3.9572        | 0.03  | 1144786 | 4.0269          |
| 3.9465        | 1.03  | 1221106 | 4.0206          |
| 3.9442        | 0.03  | 1297426 | 4.0153          |
| 3.9335        | 1.03  | 1373746 | 4.0111          |
| 3.9232        | 0.03  | 1450066 | 4.0068          |
| 3.9185        | 1.03  | 1526386 | 4.0029          |
| 3.9139        | 0.03  | 1602706 | 3.9997          |
| 3.9108        | 1.03  | 1679026 | 3.9973          |
| 3.9081        | 0.03  | 1755346 | 3.9954          |
| 3.8976        | 1.03  | 1831666 | 3.9930          |
| 3.8919        | 0.03  | 1907986 | 3.9912          |
| 3.8824        | 1.03  | 1984306 | 3.9896          |
| 3.8759        | 0.03  | 2060626 | 3.9880          |
| 3.8735        | 1.03  | 2136946 | 3.9865          |
| 3.8676        | 0.03  | 2213266 | 3.9854          |
| 3.8588        | 1.03  | 2289586 | 3.9842          |
| 3.8596        | 0.03  | 2365906 | 3.9830          |
| 3.8594        | 0.03  | 2442226 | 3.9820          |
| 3.8535        | 1.03  | 2518546 | 3.9811          |
| 3.8489        | 0.03  | 2594866 | 3.9804          |
| 3.8453        | 1.03  | 2671186 | 3.9795          |
| 3.8472        | 0.03  | 2747506 | 3.9791          |
| 3.8447        | 1.03  | 2823826 | 3.9786          |
| 3.8473        | 0.03  | 2900146 | 3.9781          |
| 3.8489        | 0.03  | 2976466 | 3.9777          |
| 3.8439        | 1.02  | 3052726 | 3.9774          |


### Framework versions

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