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

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# binding-domain-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: 3.9703

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7897        | 0.03  | 76320   | 4.7528          |
| 4.5051        | 1.03  | 152640  | 4.4733          |
| 4.3636        | 0.03  | 228960  | 4.3387          |
| 4.2773        | 1.03  | 305280  | 4.2552          |
| 4.2163        | 0.03  | 381600  | 4.1992          |
| 4.1685        | 1.03  | 457920  | 4.1581          |
| 4.1298        | 0.03  | 534240  | 4.1273          |
| 4.0974        | 1.03  | 610560  | 4.1034          |
| 4.0689        | 0.03  | 686880  | 4.0841          |
| 4.0475        | 1.03  | 763200  | 4.0684          |
| 4.0258        | 0.03  | 839520  | 4.0556          |
| 4.009         | 1.03  | 915840  | 4.0444          |
| 3.9935        | 0.03  | 992160  | 4.0360          |
| 3.9749        | 1.03  | 1068480 | 4.0273          |
| 3.961         | 0.03  | 1144800 | 4.0209          |
| 3.95          | 1.03  | 1221120 | 4.0154          |
| 3.937         | 0.03  | 1297440 | 4.0103          |
| 3.9268        | 1.03  | 1373760 | 4.0055          |
| 3.9213        | 0.03  | 1450080 | 4.0021          |
| 3.9164        | 1.03  | 1526400 | 3.9979          |
| 3.913         | 0.03  | 1602720 | 3.9946          |
| 3.9087        | 1.03  | 1679040 | 3.9915          |
| 3.9019        | 0.03  | 1755360 | 3.9892          |
| 3.8956        | 1.03  | 1831680 | 3.9866          |
| 3.8888        | 0.03  | 1908000 | 3.9847          |
| 3.8821        | 1.03  | 1984320 | 3.9830          |
| 3.8759        | 0.03  | 2060640 | 3.9815          |
| 3.8717        | 1.03  | 2136960 | 3.9800          |
| 3.8674        | 0.03  | 2213280 | 3.9786          |
| 3.8604        | 1.03  | 2289600 | 3.9771          |
| 3.8551        | 0.03  | 2365920 | 3.9759          |
| 3.8533        | 1.03  | 2442240 | 3.9750          |
| 3.8471        | 0.03  | 2518560 | 3.9741          |
| 3.8429        | 1.03  | 2594880 | 3.9731          |
| 3.8412        | 0.03  | 2671200 | 3.9726          |
| 3.8453        | 1.03  | 2747520 | 3.9719          |
| 3.846         | 0.03  | 2823840 | 3.9713          |
| 3.8478        | 1.03  | 2900160 | 3.9708          |
| 3.845         | 0.03  | 2976480 | 3.9705          |
| 3.8424        | 0.02  | 3052726 | 3.9703          |


### Framework versions

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