transformers pytorch rnn generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: binding-domain-lstm-4
  results: []
---

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# binding-domain-lstm-4

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: 3.9692

## 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: 4
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7888        | 0.03  | 76320   | 4.7521          |
| 4.5036        | 1.03  | 152640  | 4.4715          |
| 4.3636        | 0.03  | 228960  | 4.3376          |
| 4.2765        | 1.03  | 305280  | 4.2541          |
| 4.2146        | 0.03  | 381600  | 4.1970          |
| 4.1686        | 1.03  | 457920  | 4.1559          |
| 4.128         | 0.03  | 534240  | 4.1253          |
| 4.0952        | 1.03  | 610560  | 4.1007          |
| 4.0646        | 0.03  | 686880  | 4.0812          |
| 4.0432        | 1.03  | 763200  | 4.0656          |
| 4.0226        | 0.03  | 839520  | 4.0523          |
| 4.0053        | 1.03  | 915840  | 4.0409          |
| 3.9914        | 0.03  | 992160  | 4.0319          |
| 3.9701        | 1.03  | 1068480 | 4.0238          |
| 3.9597        | 0.03  | 1144800 | 4.0178          |
| 3.946         | 1.03  | 1221120 | 4.0117          |
| 3.9309        | 0.03  | 1297440 | 4.0068          |
| 3.9227        | 1.03  | 1373760 | 4.0021          |
| 3.9156        | 0.03  | 1450080 | 3.9986          |
| 3.9115        | 1.03  | 1526400 | 3.9952          |
| 3.9063        | 0.03  | 1602720 | 3.9911          |
| 3.9026        | 1.03  | 1679040 | 3.9885          |
| 3.8976        | 0.03  | 1755360 | 3.9854          |
| 3.8937        | 1.03  | 1831680 | 3.9838          |
| 3.8836        | 0.03  | 1908000 | 3.9822          |
| 3.8799        | 1.03  | 1984320 | 3.9808          |
| 3.8757        | 0.03  | 2060640 | 3.9792          |
| 3.8714        | 0.03  | 2136960 | 3.9780          |
| 3.8657        | 1.03  | 2213280 | 3.9768          |
| 3.859         | 0.03  | 2289600 | 3.9754          |
| 3.8548        | 1.03  | 2365920 | 3.9748          |
| 3.8514        | 0.03  | 2442240 | 3.9739          |
| 3.8438        | 1.03  | 2518560 | 3.9730          |
| 3.8412        | 0.03  | 2594880 | 3.9722          |
| 3.8378        | 1.03  | 2671200 | 3.9716          |
| 3.8414        | 0.03  | 2747520 | 3.9709          |
| 3.8408        | 1.03  | 2823840 | 3.9703          |
| 3.8419        | 0.03  | 2900160 | 3.9699          |
| 3.8435        | 1.03  | 2976480 | 3.9695          |
| 3.8403        | 0.02  | 3052726 | 3.9692          |


### Framework versions

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