transformers pytorch rnn generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: rel-cl2-lstm-2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# rel-cl2-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: 3.9808

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.8075        | 0.03  | 76320   | 4.7715          |
| 4.5233        | 1.03  | 152640  | 4.4891          |
| 4.3831        | 0.03  | 228960  | 4.3540          |
| 4.2934        | 1.03  | 305280  | 4.2712          |
| 4.2326        | 0.03  | 381600  | 4.2147          |
| 4.1845        | 1.03  | 457920  | 4.1724          |
| 4.143         | 0.03  | 534240  | 4.1408          |
| 4.1105        | 1.03  | 610560  | 4.1176          |
| 4.081         | 0.03  | 686880  | 4.0976          |
| 4.0578        | 1.03  | 763200  | 4.0816          |
| 4.0362        | 0.03  | 839520  | 4.0684          |
| 4.0191        | 1.03  | 915840  | 4.0569          |
| 4.0014        | 0.03  | 992160  | 4.0468          |
| 3.9866        | 1.03  | 1068480 | 4.0398          |
| 3.9777        | 0.03  | 1144800 | 4.0328          |
| 3.9631        | 1.03  | 1221120 | 4.0265          |
| 3.9475        | 0.03  | 1297440 | 4.0213          |
| 3.9387        | 1.03  | 1373760 | 4.0167          |
| 3.9312        | 0.03  | 1450080 | 4.0121          |
| 3.9247        | 1.03  | 1526400 | 4.0087          |
| 3.9214        | 2.03  | 1602720 | 4.0049          |
| 3.9176        | 0.03  | 1679040 | 4.0025          |
| 3.909         | 0.03  | 1755360 | 3.9991          |
| 3.9035        | 1.03  | 1831680 | 3.9967          |
| 3.8969        | 0.03  | 1908000 | 3.9954          |
| 3.8922        | 1.03  | 1984320 | 3.9938          |
| 3.884         | 0.03  | 2060640 | 3.9921          |
| 3.8804        | 1.03  | 2136960 | 3.9902          |
| 3.8743        | 0.03  | 2213280 | 3.9888          |
| 3.8693        | 1.03  | 2289600 | 3.9874          |
| 3.869         | 0.03  | 2365920 | 3.9863          |
| 3.8625        | 0.03  | 2442240 | 3.9854          |
| 3.8571        | 1.03  | 2518560 | 3.9844          |
| 3.8528        | 0.03  | 2594880 | 3.9836          |
| 3.8525        | 0.03  | 2671200 | 3.9831          |
| 3.8521        | 1.03  | 2747520 | 3.9822          |
| 3.8535        | 0.03  | 2823840 | 3.9818          |
| 3.8537        | 1.03  | 2900160 | 3.9814          |
| 3.8522        | 0.03  | 2976480 | 3.9810          |
| 3.8514        | 1.02  | 3052726 | 3.9808          |


### Framework versions

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