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

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# binding-reconstruction-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: 3.9730

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7982        | 0.03  | 76320   | 4.7650          |
| 4.5117        | 1.03  | 152640  | 4.4852          |
| 4.3687        | 0.03  | 228960  | 4.3483          |
| 4.2838        | 1.03  | 305280  | 4.2645          |
| 4.2211        | 0.03  | 381600  | 4.2075          |
| 4.1724        | 1.03  | 457920  | 4.1661          |
| 4.1329        | 0.03  | 534240  | 4.1344          |
| 4.1002        | 1.03  | 610560  | 4.1092          |
| 4.0739        | 0.03  | 686880  | 4.0898          |
| 4.0484        | 0.03  | 763200  | 4.0746          |
| 4.0281        | 1.03  | 839520  | 4.0612          |
| 4.0098        | 0.03  | 915840  | 4.0503          |
| 3.9947        | 1.03  | 992160  | 4.0405          |
| 3.9758        | 0.03  | 1068480 | 4.0329          |
| 3.9599        | 1.03  | 1144800 | 4.0261          |
| 3.9509        | 0.03  | 1221120 | 4.0192          |
| 3.9398        | 1.03  | 1297440 | 4.0141          |
| 3.9313        | 0.03  | 1373760 | 4.0098          |
| 3.923         | 1.03  | 1450080 | 4.0061          |
| 3.9183        | 0.03  | 1526400 | 4.0024          |
| 3.9141        | 1.03  | 1602720 | 3.9991          |
| 3.9069        | 0.03  | 1679040 | 3.9961          |
| 3.901         | 0.03  | 1755360 | 3.9935          |
| 3.895         | 1.03  | 1831680 | 3.9914          |
| 3.8884        | 0.03  | 1908000 | 3.9896          |
| 3.8818        | 1.03  | 1984320 | 3.9873          |
| 3.8757        | 0.03  | 2060640 | 3.9858          |
| 3.8717        | 1.03  | 2136960 | 3.9841          |
| 3.8669        | 0.03  | 2213280 | 3.9826          |
| 3.8583        | 1.03  | 2289600 | 3.9809          |
| 3.854         | 0.03  | 2365920 | 3.9793          |
| 3.854         | 1.03  | 2442240 | 3.9781          |
| 3.8487        | 0.03  | 2518560 | 3.9769          |
| 3.8465        | 1.03  | 2594880 | 3.9763          |
| 3.8418        | 0.03  | 2671200 | 3.9754          |
| 3.8461        | 1.03  | 2747520 | 3.9748          |
| 3.845         | 0.03  | 2823840 | 3.9742          |
| 3.8429        | 1.03  | 2900160 | 3.9737          |
| 3.843         | 0.03  | 2976480 | 3.9733          |
| 3.8403        | 0.02  | 3052726 | 3.9730          |


### Framework versions

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