transformers pytorch rnn generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: binding-domain-lstm-3
  results: []
---

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# binding-domain-lstm-3

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: 3.9699

## 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: 3
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7862        | 0.03  | 76320   | 4.7490          |
| 4.5033        | 1.03  | 152640  | 4.4718          |
| 4.3621        | 0.03  | 228960  | 4.3375          |
| 4.2771        | 1.03  | 305280  | 4.2549          |
| 4.2156        | 0.03  | 381600  | 4.1983          |
| 4.1699        | 1.03  | 457920  | 4.1582          |
| 4.1302        | 0.03  | 534240  | 4.1273          |
| 4.0971        | 1.03  | 610560  | 4.1029          |
| 4.0699        | 0.03  | 686880  | 4.0839          |
| 4.0479        | 1.03  | 763200  | 4.0686          |
| 4.0271        | 0.03  | 839520  | 4.0558          |
| 4.011         | 0.03  | 915840  | 4.0446          |
| 3.9945        | 1.03  | 992160  | 4.0362          |
| 3.9758        | 0.03  | 1068480 | 4.0277          |
| 3.965         | 1.03  | 1144800 | 4.0209          |
| 3.9495        | 0.03  | 1221120 | 4.0152          |
| 3.9368        | 1.03  | 1297440 | 4.0103          |
| 3.9259        | 0.03  | 1373760 | 4.0055          |
| 3.9195        | 1.03  | 1450080 | 4.0012          |
| 3.9172        | 0.03  | 1526400 | 3.9978          |
| 3.9128        | 1.03  | 1602720 | 3.9946          |
| 3.9092        | 0.03  | 1679040 | 3.9919          |
| 3.9022        | 1.03  | 1755360 | 3.9895          |
| 3.8968        | 0.03  | 1831680 | 3.9873          |
| 3.8901        | 1.03  | 1908000 | 3.9852          |
| 3.8836        | 0.03  | 1984320 | 3.9835          |
| 3.8778        | 1.03  | 2060640 | 3.9819          |
| 3.876         | 0.03  | 2136960 | 3.9803          |
| 3.8693        | 1.03  | 2213280 | 3.9786          |
| 3.8607        | 0.03  | 2289600 | 3.9772          |
| 3.8579        | 1.03  | 2365920 | 3.9760          |
| 3.8521        | 0.03  | 2442240 | 3.9750          |
| 3.8445        | 1.03  | 2518560 | 3.9739          |
| 3.8406        | 0.03  | 2594880 | 3.9733          |
| 3.8394        | 1.03  | 2671200 | 3.9727          |
| 3.8421        | 0.03  | 2747520 | 3.9718          |
| 3.8447        | 1.03  | 2823840 | 3.9712          |
| 3.8463        | 0.03  | 2900160 | 3.9707          |
| 3.8447        | 1.03  | 2976480 | 3.9702          |
| 3.8428        | 0.02  | 3052726 | 3.9699          |


### Framework versions

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