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

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# binding-reconstruction-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: 3.9713

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7917        | 0.03  | 76320   | 4.7594          |
| 4.5052        | 1.03  | 152640  | 4.4768          |
| 4.3619        | 0.03  | 228960  | 4.3418          |
| 4.2784        | 1.03  | 305280  | 4.2583          |
| 4.2153        | 0.03  | 381600  | 4.2016          |
| 4.1661        | 1.03  | 457920  | 4.1610          |
| 4.1274        | 0.03  | 534240  | 4.1302          |
| 4.0963        | 1.03  | 610560  | 4.1061          |
| 4.0684        | 0.03  | 686880  | 4.0865          |
| 4.0431        | 0.03  | 763200  | 4.0708          |
| 4.0215        | 1.03  | 839520  | 4.0574          |
| 4.0052        | 0.03  | 915840  | 4.0466          |
| 3.9894        | 1.03  | 992160  | 4.0375          |
| 3.9699        | 0.03  | 1068480 | 4.0294          |
| 3.9579        | 1.03  | 1144800 | 4.0223          |
| 3.9457        | 0.03  | 1221120 | 4.0157          |
| 3.9351        | 1.03  | 1297440 | 4.0102          |
| 3.9247        | 0.03  | 1373760 | 4.0058          |
| 3.915         | 1.03  | 1450080 | 4.0019          |
| 3.9127        | 0.03  | 1526400 | 3.9982          |
| 3.9078        | 1.03  | 1602720 | 3.9946          |
| 3.9007        | 0.03  | 1679040 | 3.9920          |
| 3.8952        | 1.03  | 1755360 | 3.9902          |
| 3.8918        | 0.03  | 1831680 | 3.9876          |
| 3.8848        | 1.03  | 1908000 | 3.9858          |
| 3.8768        | 0.03  | 1984320 | 3.9841          |
| 3.8712        | 1.03  | 2060640 | 3.9824          |
| 3.8673        | 0.03  | 2136960 | 3.9810          |
| 3.8644        | 1.03  | 2213280 | 3.9792          |
| 3.8548        | 0.03  | 2289600 | 3.9779          |
| 3.851         | 1.03  | 2365920 | 3.9768          |
| 3.8478        | 0.03  | 2442240 | 3.9759          |
| 3.8441        | 1.03  | 2518560 | 3.9752          |
| 3.8411        | 0.03  | 2594880 | 3.9744          |
| 3.8374        | 1.03  | 2671200 | 3.9737          |
| 3.8405        | 0.03  | 2747520 | 3.9732          |
| 3.8411        | 1.03  | 2823840 | 3.9727          |
| 3.8386        | 0.03  | 2900160 | 3.9721          |
| 3.8389        | 1.03  | 2976480 | 3.9716          |
| 3.8384        | 0.02  | 3052726 | 3.9713          |


### Framework versions

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