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

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# binding-domain-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: 3.9735

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7977        | 0.03  | 76320   | 4.7615          |
| 4.5122        | 1.03  | 152640  | 4.4804          |
| 4.3702        | 0.03  | 228960  | 4.3456          |
| 4.2828        | 1.03  | 305280  | 4.2622          |
| 4.2219        | 0.03  | 381600  | 4.2056          |
| 4.1741        | 1.03  | 457920  | 4.1638          |
| 4.1361        | 0.03  | 534240  | 4.1324          |
| 4.1019        | 1.03  | 610560  | 4.1074          |
| 4.0734        | 0.03  | 686880  | 4.0879          |
| 4.0511        | 1.03  | 763200  | 4.0719          |
| 4.0305        | 0.03  | 839520  | 4.0593          |
| 4.0145        | 1.03  | 915840  | 4.0479          |
| 3.9977        | 0.03  | 992160  | 4.0387          |
| 3.9796        | 1.03  | 1068480 | 4.0308          |
| 3.9665        | 0.03  | 1144800 | 4.0227          |
| 3.953         | 1.03  | 1221120 | 4.0167          |
| 3.9407        | 0.03  | 1297440 | 4.0120          |
| 3.9301        | 1.03  | 1373760 | 4.0081          |
| 3.9233        | 0.03  | 1450080 | 4.0040          |
| 3.919         | 1.03  | 1526400 | 4.0004          |
| 3.9145        | 0.03  | 1602720 | 3.9975          |
| 3.9119        | 1.03  | 1679040 | 3.9947          |
| 3.9048        | 0.03  | 1755360 | 3.9919          |
| 3.8974        | 1.03  | 1831680 | 3.9893          |
| 3.8909        | 0.03  | 1908000 | 3.9872          |
| 3.8852        | 1.03  | 1984320 | 3.9859          |
| 3.8798        | 0.03  | 2060640 | 3.9846          |
| 3.8767        | 1.03  | 2136960 | 3.9831          |
| 3.8729        | 0.03  | 2213280 | 3.9818          |
| 3.8653        | 1.03  | 2289600 | 3.9808          |
| 3.86          | 0.03  | 2365920 | 3.9796          |
| 3.8572        | 1.03  | 2442240 | 3.9786          |
| 3.8499        | 0.03  | 2518560 | 3.9776          |
| 3.8451        | 1.03  | 2594880 | 3.9767          |
| 3.8444        | 0.03  | 2671200 | 3.9761          |
| 3.8457        | 1.03  | 2747520 | 3.9753          |
| 3.8482        | 0.03  | 2823840 | 3.9746          |
| 3.848         | 1.03  | 2900160 | 3.9742          |
| 3.8472        | 0.03  | 2976480 | 3.9737          |
| 3.8448        | 1.02  | 3052726 | 3.9735          |


### Framework versions

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