transformers pytorch rnn generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: rel-cl-lstm-2
  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-2

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: 3.9785

## 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: 2
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.8008        | 0.03  | 76319   | 4.7627          |
| 4.5151        | 0.03  | 152638  | 4.4816          |
| 4.374         | 0.03  | 228957  | 4.3478          |
| 4.2862        | 1.03  | 305276  | 4.2645          |
| 4.2226        | 0.03  | 381595  | 4.2082          |
| 4.1691        | 1.03  | 457914  | 4.1669          |
| 4.1333        | 0.03  | 534233  | 4.1361          |
| 4.1034        | 1.03  | 610552  | 4.1115          |
| 4.0735        | 0.03  | 686871  | 4.0929          |
| 4.051         | 1.03  | 763190  | 4.0768          |
| 4.0334        | 0.03  | 839509  | 4.0648          |
| 4.0153        | 1.03  | 915828  | 4.0532          |
| 3.9936        | 0.03  | 992147  | 4.0440          |
| 3.9834        | 0.03  | 1068466 | 4.0364          |
| 3.9681        | 1.03  | 1144785 | 4.0294          |
| 3.9586        | 0.03  | 1221105 | 4.0229          |
| 3.9442        | 1.03  | 1297425 | 4.0173          |
| 3.9351        | 0.03  | 1373745 | 4.0124          |
| 3.9238        | 1.03  | 1450065 | 4.0085          |
| 3.9209        | 0.03  | 1526385 | 4.0051          |
| 3.9142        | 1.03  | 1602705 | 4.0024          |
| 3.9116        | 0.03  | 1679025 | 3.9996          |
| 3.9073        | 1.03  | 1755345 | 3.9973          |
| 3.9009        | 0.03  | 1831665 | 3.9954          |
| 3.8922        | 1.03  | 1907985 | 3.9933          |
| 3.8829        | 0.03  | 1984305 | 3.9910          |
| 3.8762        | 1.03  | 2060625 | 3.9890          |
| 3.8746        | 0.03  | 2136945 | 3.9878          |
| 3.8673        | 1.03  | 2213265 | 3.9862          |
| 3.8607        | 0.03  | 2289585 | 3.9850          |
| 3.8607        | 0.03  | 2365905 | 3.9843          |
| 3.8592        | 0.03  | 2442225 | 3.9831          |
| 3.8521        | 1.03  | 2518545 | 3.9822          |
| 3.8487        | 0.03  | 2594865 | 3.9816          |
| 3.8455        | 1.03  | 2671185 | 3.9811          |
| 3.846         | 0.03  | 2747505 | 3.9803          |
| 3.846         | 1.03  | 2823825 | 3.9796          |
| 3.846         | 0.03  | 2900145 | 3.9794          |
| 3.8496        | 0.03  | 2976465 | 3.9789          |
| 3.8456        | 1.02  | 3052726 | 3.9785          |


### Framework versions

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