transformers pytorch rnn generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: binding-reconstruction-lstm-2
  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-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: 3.9684

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7955        | 0.03  | 76320   | 4.7622          |
| 4.5075        | 1.03  | 152640  | 4.4804          |
| 4.365         | 0.03  | 228960  | 4.3439          |
| 4.279         | 1.03  | 305280  | 4.2600          |
| 4.2159        | 0.03  | 381600  | 4.2030          |
| 4.1659        | 1.03  | 457920  | 4.1616          |
| 4.129         | 0.03  | 534240  | 4.1308          |
| 4.097         | 1.03  | 610560  | 4.1059          |
| 4.0694        | 0.03  | 686880  | 4.0865          |
| 4.043         | 0.03  | 763200  | 4.0705          |
| 4.0225        | 1.03  | 839520  | 4.0564          |
| 4.0072        | 0.03  | 915840  | 4.0457          |
| 3.9891        | 1.03  | 992160  | 4.0368          |
| 3.9735        | 0.03  | 1068480 | 4.0282          |
| 3.9577        | 1.03  | 1144800 | 4.0212          |
| 3.9477        | 0.03  | 1221120 | 4.0153          |
| 3.9363        | 1.03  | 1297440 | 4.0094          |
| 3.9261        | 0.03  | 1373760 | 4.0047          |
| 3.9158        | 1.03  | 1450080 | 4.0007          |
| 3.9144        | 0.03  | 1526400 | 3.9970          |
| 3.9096        | 1.03  | 1602720 | 3.9949          |
| 3.9016        | 0.03  | 1679040 | 3.9916          |
| 3.8963        | 1.03  | 1755360 | 3.9893          |
| 3.8925        | 0.03  | 1831680 | 3.9868          |
| 3.8855        | 1.03  | 1908000 | 3.9845          |
| 3.8774        | 0.03  | 1984320 | 3.9826          |
| 3.8719        | 1.03  | 2060640 | 3.9810          |
| 3.8686        | 0.03  | 2136960 | 3.9795          |
| 3.8668        | 1.03  | 2213280 | 3.9783          |
| 3.8572        | 0.03  | 2289600 | 3.9767          |
| 3.8508        | 1.03  | 2365920 | 3.9751          |
| 3.8493        | 0.03  | 2442240 | 3.9735          |
| 3.8447        | 1.03  | 2518560 | 3.9727          |
| 3.8411        | 0.03  | 2594880 | 3.9715          |
| 3.8369        | 1.03  | 2671200 | 3.9710          |
| 3.8421        | 0.03  | 2747520 | 3.9704          |
| 3.8416        | 1.03  | 2823840 | 3.9697          |
| 3.842         | 0.03  | 2900160 | 3.9691          |
| 3.8382        | 1.03  | 2976480 | 3.9687          |
| 3.8363        | 0.02  | 3052726 | 3.9684          |


### Framework versions

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